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Detecting arrhythmia

Subclass of:

600 - Surgery

600300000 - DIAGNOSTIC TESTING

600481000 - Cardiovascular

600508000 - Heart

600509000 - Detecting heartbeat electric signal

Patent class list (only not empty are listed)

Deeper subclasses:

Class / Patent application numberDescriptionNumber of patent applications / Date published
600518000 Tachycardia or fibrillation detected 62
600516000 Variation in duration of segment of PQRST signal waveform (e.g., QRS complex, etc.) detected 48
600517000 Vertical variation of PQRST signal waveform (e.g., amplitude of QRS complex, etc.) detected 5
20090171228BASELINE PROCESSING FOR THE DETECTION OF CARDIAC EVENTS - A system for the detection of cardiac events occurring in a human patient is provided. At least two electrodes are included in the system for obtaining an electrical signal from a patient's heart. An electrical signal processor is electrically coupled to the electrodes for processing the electrical signal and a patient alarm means is further provided and electrically coupled to the electrical signal processor. The electrical signal is acquired in the form of electrogram segments, which are categorized according to heart rate, ST segment shift and type heart rhythm (normal or abnormal). Baseline electrogram segments are tracked over time.07-02-2009
20090292216Noise cancellation mechanism - In a biometric sensor provided for use with an exercise apparatus and having a pair electrodes for sensing a biopotential signal, a common-mode rejection circuit can be used to cancel noise in the signal resulting from various sources including motion of the apparatus.11-26-2009
20090177105System and Method for Distinguishing Among Cardiac Ischemia, Hypoglycemia and Hyperglycemia Using an Implantable Medical Device - Techniques are described for detecting ischemia, hypoglycemia or hyperglycemia based on intracardiac electrogram (IEGM) signals. Ischemia is detected based on a shortening of the interval between the QRS complex and the end of a T-wave (QTmax), alone or in combination with a change in ST segment elevation. Alternatively, ischemia is detected based on a change in ST segment elevation combined with minimal change in the interval between the QRS complex and the end of the T-wave (QTend). Hypoglycemia is detected based on a change in ST segment elevation along with a lengthening of either QTmax or QTend. Hyperglycemia is detected based on a change in ST segment elevation along with minimal change in QTmax and in QTend. By exploiting QTmax and QTend in combination with ST segment elevation, changes in ST segment elevation caused by hypo/hyperglycemia can be properly distinguished from changes caused by ischemia.07-09-2009
20090177104System and Method for Distinguishing Among Cardiac Ischemia, Hypoglycemia and Hyperglycemia Using an Implantable Medical Device - Techniques are described for detecting ischemia, hypoglycemia or hyperglycemia based on intracardiac electrogram (IEGM) signals. Ischemia is detected based on a shortening of the interval between the QRS complex and the end of a T-wave (QTmax), alone or in combination with a change in ST segment elevation. Alternatively, ischemia is detected based on a change in ST segment elevation combined with minimal change in the interval between the QRS complex and the end of the T-wave (QTend). Hypoglycemia is detected based on a change in ST segment elevation along with a lengthening of either QTmax or QTend. Hyperglycemia is detected based on a change in ST segment elevation along with minimal change in QTmax and in QTend. By exploiting QTmax and QTend in combination with ST segment elevation, changes in ST segment elevation caused by hypo/hyperglycemia can be properly distinguished from changes caused by ischemia.07-09-2009
20090192398METHOD AND APPARATUS FOR MONITORING T-WAVE ALTERNANS - An implantable medical device and associated method assess T-wave alternans by sensing a cardiac electrogram (EGM) signal and selecting a pair of consecutive T-wave signals from the EGM signal. A first amplitude and a second amplitude from each of the consecutive T-wave signals are determined. The differences between the first amplitudes and the second amplitudes of the consecutive T-wave signal pairs are used to compute a T-wave alternans metric.07-30-2009
Entries
DocumentTitleDate
20100160805MONITORING SHORT TERM FLUCTUATIONS IN PR INTERVALS FOLLOWING PREMATURE VENTRICULAR CONTRACTIONS - Implantable systems, and methods for use therein, perform at least one of a cardiac assessment and an autonomic assessment. Short-term fluctuations in PR intervals, that follow the premature contractions in the ventricles, are monitored. At least one of a cardiac assessment and an autonomic assessment is performed based on the monitored fluctuations in PR intervals that follow the premature contractions in the ventricles. This can include assessing a patient's risk of sudden cardiac death (SCD), assessing a patient's autonomic tone and/or detecting myocardial ischemic events based on the monitored fluctuations in PR intervals that follow the premature contractions in the ventricles.06-24-2010
20130079652ASSESSMENT OF CARDIAC HEALTH BASED ON HEART RATE VARIABILITY - A diagnostic method includes receiving data comprising a series of heartbeat intervals acquired from a patient (03-28-2013
20130085405METHOD AND APPARATUS FOR CLASSIFYING CARDIAC ARRHYTHMIA - A method and a device for classifying cardiac arrhythmia, using an electrocardiogram (ECG) signal, are provided. The method includes receiving the ECG signal representing an electrical activity of a heart of an individual over a period of time, the ECG signal including ECG beats. The method further includes converting each of the ECG beats into symbols. The method further includes identifying an arrhythmia class indicating a type of cardiac arrhythmia associated with the individual from arrhythmia classes indicating respective types of cardiac arrhythmia based on the symbols representing each of the ECG beats.04-04-2013
20100137728ECG SIGNAL ANALYSIS TOOL - A computer-implemented method for analyzing a physiological signal includes selecting a first time interval containing a pattern of interest in a recording of the physiological signal. Respective values of a characteristic of the physiological signal are computed in a plurality of time segments within the first time interval. The computed values are concatenated to form a signature of the pattern of interest. A further occurrence of the pattern of interest is identified in the physiological signal during a second time interval by matching the signal in the second time interval to the signature.06-03-2010
20090076402Method and apparatus for determining susceptibility for arrhythmias using wedensky modulated electrocardiography and alternans analysis - A method of assessing a patient's susceptibility to ventricular arrhythmia obtaining data by applying electrodes to detect electrocardiographic signal. A plurality of synchronized subthreshold electrical stimuli are delivered into the patient's body to present stimulated cardiac cycles to the electrodes and unstimulated reference cardiac cycles to the electrodes the signals are analyzed by creating a matrix of vectorized time-phase data representing a plurality cardiac cycles contained in the electrocardiographic signals that are recorded the method includes processing the matrix to generate spectral analytic representation of the matrix, analyzing at least the spectral analytic representation to determine at least one alternans index for the patient; and displaying the at least one alternans index as an indicator of the patient's susceptibility to arrhythmia.03-19-2009
20130041274SYSTEMS AND METHODS FOR USE BY IMPLANTABLE MEDICAL DEVICES FOR DETECTING AND DISCRIMINATING STROKE AND CARDIAC ISCHEMIA USING ELECTROCARDIAC SIGNALS - Techniques are provided for detecting and distinguishing stroke and cardiac ischemia based on electrocardiac signals. In one example, the device senses atrial and ventricular signals within the patient along a set of unipolar sensing vectors and identifies certain morphological features within the signals such as PR intervals, ST intervals, QT intervals, T-waves, etc. The device detects changes, if any, within the morphological features such as significant shifts in ST interval elevation or an inversion in T-wave shape, which are indicative of stroke or cardiac ischemia. By selectively comparing changes detected along different unipolar sensing vectors, the device distinguishes or discriminates stroke from cardiac ischemia within the patient. The discrimination may be corroborated using various physiological and hemodynamic parameters. In some examples, the device further identifies the location of the ischemia within the heart. In still other examples, the device detects cardiac ischemia occurring during stroke.02-14-2013
20100113953SYSTEM FOR VERIFYING THE INTEGRITY OF CARDIAC COMPLEX TEMPLATES - A method and system for verifying the integrity of normal sinus rhythm (NSR) templates and updating the NSR template after selected time intervals. At selected time intervals after establishing a NSR template, cardiac complexes are sensed and values for one or more cardiac parameters are measured. The values of the cardiac parameters are compared to predetermined value ranges for NSR cardiac complexes. When the values of the cardiac parameters fall within the predetermined value ranges, values for the differences between the values of the cardiac parameters for the cardiac complexes and the values for the cardiac parameters of the NSR cardiac complexes are calculated. When the values of the differences are greater than one or more threshold values, the NSR template is updated as a function of the sensed cardiac complexes.05-06-2010
20090156949Medical device with real-time physiological signal analysis function - A medical device with real-time physiological signal analysis function is disclosed. An ECG signal is generated by detection of detection circuit to the human heart while conversion circuit receives the ECG signal and converts it into an ECG data. The ECG data is sent to a process control unit for being processed to generate a HRV parameter. The ECG data and the HRV parameter are shown by a display unit for real-time analysis of changes of HRV in time domain and frequency domain. Thus doctors can make diagnosis according to these data. Moreover, The process control unit is coupled to the memory module so as to save the ECG data and the HRV parameter. Thus after long-term data collection of the ECG and HRV, doctors can make diagnosis by means of these data.06-18-2009
20120184867SYSTEMS AND METHODS FOR INCREASED SPECIFICITY IN DIAGNOSTICS - Specific embodiments provided herein relate to diagnosing, with improved specificity, occurrences of episodes relating to disorders that are known to affect T-wave morphology. One or more propensity metric is obtained, each of which is indicative of a patient's propensity for a specific disorder that is known to affect T-wave morphology. T-wave variability is monitored. Additionally, there is monitoring for a specific change in T-wave morphology that is known to be indicative of episodes relating to a disorder. When the specific change in T-wave morphology is detected, a diagnosis is determined for detecting the specific change in T-wave morphology, taking into account the propensity metric(s) and the T-wave variability.07-19-2012
20130046196SYSTEMS AND METHODS FOR SETTING PARAMETERS OF IMPLANTABLE MEDICAL DEVICES USING PREDICTIVE MARKER DATA - Embodiments of the invention are related to systems and methods for setting parameters of implantable medical devices, amongst other things. In an embodiment, the invention includes a method for programming an implantable medical device including sensing concentrations of a predictive marker such as ET-1 in a patient, selecting programming parameter values based on the sensed concentrations of the predictive marker, and implementing the selected programming parameter values. In an embodiment the invention includes a method for detecting arrhythmia in a patient including sensing concentrations of the predictive marker in a patient, selecting a level of stringency to be used in an arrhythmia detection module based on the sensed concentrations of the predictive marker, sensing electrical signals in the patient, and evaluating the sensed electrical signals for indicia of an arrhythmia using the arrhythmia detection module. Other embodiments are also included herein.02-21-2013
20130066221METHOD AND SYSTEM FOR IDENTIFYING CARDIAC ARRHYTHMIA DRIVER SITES - A method of identifying potential driver sites for cardiac arrhythmias includes acquiring a plurality of electrograms from a plurality of locations on at least a portion of a patient's heart. Using the acquired electrograms, at least one electrical activity map is generated. Desirable electrical activity maps include complex fractionated electrogram standard deviation and mean maps, dominant frequency maps, peak-to-peak voltage maps, and activation sequence maps. Using one or more of these maps (e.g., by analyzing one or more electrogram morphological characteristics represented by these maps), at least one potential driver site can be detected.03-14-2013
20100125217Method and Apparatus for Presenting Heart Rate Variability by Sound and/or Light - An apparatus is disclosed for presenting heart rate variability, comprising a sensor for collecting electrocardiogram signals; an analog-to-digital converter for digitalizing electrocardiogram signals; an operating unit, converting said digitalized electrocardiogram signals to one or more heart rate variability parameters and further converting said heart-rate-variability parameters to one or more standard scores of heart rate variability by a standard mathematical formula; and an output unit, outputting the standard score of said heart-rate-variability by sound and/or light to aid determining the state of heart rate variability of a subject.05-20-2010
20110301478MANAGEMENT OF MEDICAL INFORMATION - Systems, methods, apparatus, and computer program products are provided for managing medical information. For example, in one embodiment, medical information may be transmitted from a device such as an electrocardiographic device to a management system. The management system can transmit at least a portion of the medical information to a mobile device associated with, for example, a medical provider for remote diagnosis. In response to receiving a particular diagnosis, the management system may automatically initiate one or more protocols.12-08-2011
20110301479System and Method for Assessing a Likelihood of a Patient to Experience a Future Cardiac Arrhythmia Using Dynamic Changes in a Biological Parameter - System and method for assessing a likelihood of a patient to experience a cardiac arrhythmia using dynamic changes in a biological parameter. A biological sensor is configured to sense a biological parameter of the patient. A processor is coupled to the biological sensor and is configured to determine a dynamic change of the biological parameter and determine the likelihood of the patient experiencing a cardiac arrhythmia based, at least in part, on the dynamic change of the biological parameter.12-08-2011
20120004566SYSTEM AND METHOD FOR ESTABLISHING EPISODE PROFILES OF DETECTED TACHYCARDIA EPISODES - A medical device and associated method sense a cardiac signal and initiate an arrhythmia episode detection process in response to the cardiac signal by enabling an arrhythmia detection counter to be adjusted during the detection process. Data is accumulated relating to cardiac events during the detection process. An arrhythmia episode profile is established using the accumulated data. The accumulated data includes a pattern of the adjustment of the detection counter during the detection process01-05-2012
20120010516SYSTEM AND METHOD FOR EVALUATING MECHANICAL CARDIAC DYSSYNCHRONY BASED ON MULTIPLE IMPEDANCE VECTORS USING AN IMPLANTABLE MEDICAL DEVICE - A set of cardiogenic impedance signals are detected along different sensing vectors passing through the heart of the patient, particularly vectors passing through the ventricular myocardium. A measure of mechanical dyssynchrony is detected based on differences, if any, among the cardiogenic impedance signals detected along the different vectors. In particular, differences in peak magnitude delay times, peak velocity delay times, peak magnitudes, and waveform integrals of the cardiogenic impedance signals are quantified and compared to detect abnormally contracting segments, if any, within the heart of the patient. Warnings are generated upon detection of any significant increase in mechanical dyssynchrony. Diagnostic information is recorded for clinical review. Pacing therapies such as cardiac resynchronization therapy (CRT) can be activated or controlled in response to mechanical dyssynchrony to improve the hemodynamic output of the heart.01-12-2012
20100249625Ambulatory and Centralized Processing of a Physiological Signal - A machine-implemented method including obtaining physiological signal data for a living being and performing a first analysis of the physiological signal data at a processing device local to the living being and remote from a central processing device. The method further includes transmitting from the processing device data associated with the analysis to the central processing device and performing at the central processing device a second analysis of the data associated with the first analysis. The method further includes displaying the data associated with the second analysis. The method can also include interaction between the processing device local to the living being and the central processing device. The method can also include distributing monitoring and analysis between an ambulatory and a centralized subsystem.09-30-2010
20090105601HEART-RATE VARIABILITY ANALYSIS METHOD AND ANALYSIS DEVICE - The present invention provides a heart-rate variability analysis method and analysis device that have a 24 hour monitoring function, that have a function for the high-precision measuring of the R-R interval heart-rate, and that can exclude the effect of respiratory movement on heart-rate variability. The present invention also provides a heart-rate variability analysis device capable of performing a detailed analysis of the heart rate.04-23-2009
20120089038Method and system for identifying cardiac arrhythmia driver sites - A method of identifying potential driver sites for cardiac arrhythmias includes acquiring a plurality of electrograms from a plurality of locations on at least a portion of a patient's heart. Using the acquired electrograms, at least one electrical activity map is generated. Desirable electrical activity maps include complex fractionated electrogram standard deviation and mean maps, dominant frequency maps, peak-to-peak voltage maps, and activation sequence maps. Using one or more of these maps (e.g., by analyzing one or more electrogram morphological characteristics represented by these maps), at least one potential driver site can be detected.04-12-2012
20090099468Automated Processing of Electrophysiological Data04-16-2009
20100099996DEVICE, METHOD AND COMPUTER-READABLE STORAGE MEDIUM FOR DETECTING AND CLASSIFYING OF CARDIAC EVENTS - Method for detecting cardiac events, e.g., Atrial Fibrillation (AF) or termination of AF. Based on analysis of the instability observed in heart rate, caused by irregular conduction from the atrium during AF. Change in heart interval is monitored on beat-to-beat basis to recognize instability that indicates presence of AF or Atrial Flutter. A packet of a number of consecutive intervals is evaluated, whether the length of an interval is stable compared with the length of the preceding interval, or whether the length of the subsequent interval has changed. After detection of an instability, instability counter is incremented. The result of the stability test for a packet of intervals is represented by the value of the instability counter. Depending upon whether or not an AF already declared, (indicated by AF status flag), different “X-out-of-Y” criterion are applied. AF status flag set/cleared when declaring AF/termination of AF.04-22-2010
20120108994MORPHOLOGY CHANGE DETECTION FOR CARDIAC SIGNAL ANALYSIS - Method and apparatus for improved detection of changes in morphology for cardiac analysis in post-processing. In some examples, a method of detecting a morphology change includes receiving an electrogram signal that represents a heartbeat; calculating a plurality of correlation values between the heartbeat and a template heartbeat; determining a maximum correlation value between the heartbeat and the template heartbeat based at least partially on the plurality of correlation values; and classifying the heartbeat based on the maximum correlation value.05-03-2012
20100081952DETECTING ISCHEMIA USING AN IMPLANTABLE CARDIAC DEVICE BASED ON MORPHOLOGY OF CARDIAC PRESSURE SIGNAL - Methods and systems are presented for using an ICD to detect myocardial ischemia. One such method includes sensing via an implantable cardiac-rhythm-management device (ICRMD) a signal indicative of cardiac pressure; determining via a processor associated with the ICRMD, a derivative signal that is a first derivative of the sensed signal; measuring via the processor, a maximum positive value of the derivative signal; measuring via the processor, a maximum negative value of the derivative signal; and indicating via the processor, an ischemia based on a comparison of a ratio of the maximum positive value to the maximum negative value with a predetermined value.04-01-2010
20100087745Baseline processing for a cardiac event detection system - A system for the detection of cardiac events occurring in a human patient is provided. At least two electrodes are included in the system for obtaining an electrical signal from a patient's heart. An electrical signal processor is electrically coupled to the electrodes for processing the electrical signal and a patient alarm means is further provided and electrically coupled to the electrical signal processor. The electrical signal is acquired in the form of electrogram segments, which are categorized according to heart rate, ST segment shift and type heart rhythm (normal or abnormal). Baseline electrogram segments are tracked over time.04-08-2010
20100081951DEVICE FOR IDENTIFYING THE LIKELIHOOD OF A PATIENT SUFFERING A MYOCARDIAL INFARCTION04-01-2010
20100099995METHOD AND APPARATUS FOR ECTOPIC BEAT DETECTION - Heart monitor for detecting ectopic beats in an input electrocardiogram signal that includes an electrocardiogram signal input and a morphological signal analyzer connected to the electrocardiogram signal input, the analyzer being adapted to generate a first time series of values representing the input electrocardiogram signal, a second signal analyzer adapted to generate generating a modified time series of values representing a trend of values of the first time series and a comparison stage being adapted to compare the first time series with the modified time series to thus detect ectopic beats. The invention further relates to a method for detecting ectopic beats in an input electrocardiogram signal that includes obtaining an electrocardiogram signal, generating from the electrocardiogram signal a first time series of values representing the input electrocardiogram signal, generating a modified time series of values representing a trend of values of the first time series and comparing the first time series with the modified time series to thus detect ectopic beats.04-22-2010
20120289846TECHNIQUES FOR DETERMINING CARDIAC CYCLE MORPHOLOGY - A method includes storing an electrogram (EGM) template in a memory. The EGM template includes first and second alignment points at first and second peaks of the EGM template, respectively. The method further includes identifying first and second peaks of a cardiac cycle EGM acquired by a medical device and selecting one of the first and second peaks of the cardiac cycle EGM to align with one of the first and second alignment points based on an order in which the first and second peaks of the cardiac cycle EGM occur. Additionally, the method includes aligning the selected one of the first and second peaks with one of the first and second alignment points and determining an amount of similarity between the cardiac cycle EGM and the EGM template after alignment.11-15-2012
20110208078METHODS OF IDENTIFYING AND/OR ASSESSING CARDIAC ARRHYTHMIAS USING AN IMPLANTABLE MEDICAL DEVICE - Apparatus using one or more modes of statistical analysis with one or more monitored parameters of a patient's heart to identify and/or assess arrhythmias. Through use of the one or more modes of statistical analysis, a medical professional can be aided during evaluation of patient data for diagnosis of the patient. At least one of the monitored parameters may include one or more values used representatively for storage intervals of a selected length. As such, for each storage interval, a value may be determined for the one monitored parameter occurring at an upper percentile and a lower percentile. In addition, a median value may be determined for the one monitored parameter for each storage interval. Over a plurality of the storage intervals, these determined values can be used in one or more modes of statistical analysis to better identify and assess the arrhythmias.08-25-2011
20080281216Cardiac Arrhythmias Analysis of Electrophysiological Signals Based on Symbolic Dynamics - The disclosed method analyzes cardiac electrophysiological signals, including ECG and internal cardiac electrograms, based on multi-level symbolic complexity calculation and multi-dimensional mapping. The results may be used to objectively identify cardiac disorders, differentiate cardiac arrhythmias, characterize pathological severities, and predict life-threatening events. Multi-level symbolization and calculation of the electrophysiological signal is used provide better reliability and analysis resolution for identifying and characterizing cardiac disorders. Adaptive analysis of the cardiac signal complexity enables calculation efficiency and reliability with high SNR, and with low calculation volume and power consumption. One dimension (time or frequency domain) and multi-dimension symbolic analysis is used to provide more information of cardiac pathology and high risk rhythm transition to doctors.11-13-2008
20100280400RATE ABERRANT BEAT SELECTION AND TEMPLATE FORMATION - A cardiac rhythm management system can be used to detect episode beats associated with cardiac events in a subject's body. These events may be monitored and depolarization morphology information can be derived for candidate arrhythmic beats in an arrhythmia episode. An arrhythmic beat morphology template may be formed from selecting at least one of the candidate arrhythmic beats based upon user's labeling according to specific morphologies of one or more candidate episodes. Methods of use are also presented.11-04-2010
20100145207METHOD AND SYSTEM FOR DETECTING T-WAVE ALTERNANS - A method for generating a cardiac electrical instability assesment is disclosed herein. The method includes obtaining a SDTWA measurement, obtaining a LDTWA measurement, and obtaining a cardiac electrical instability assessment based on both the SDTWA measurement and the LDTWA measurement.06-10-2010
20110270104METHOD AND APPARATUS FOR DETECTING AND DISCRIMINATING TACHYCARDIA - A medical device and associated method for discriminating cardiac events includes determining whether a cardiac evidence counter is greater than a predetermined detection threshold, determining whether to advance from a current state to a next state in response to the evidence counter being greater than the predetermined detection threshold, determining whether advancing from a previous state to the current state occurred while in one of a low variability mode and a high variability mode during the previous state, and determining whether to advance from the current state to a previous state in response to determining whether advancing from a previous state to the current state occurred while operating in one of a low variability mode and a high variability mode during the previous state.11-03-2011
20090137915Method and Apparatus for Facilitating Physiological Coherence and Autonomic Balance - Method and apparatus for determining the state of entrainment between biological systems which exhibit oscillatory behavior such as heart rhythms, respiration, blood pressure waves and low frequency brain waves based on a determination of heart rate variability (HRV) and an evaluation of the power spectrum thereof. Entrainment reflects a harmonious balance between the two branches of the autonomic nervous system within the body. This internal state of heightened physiological efficiency enhances health and promotes optimal performance. According to one embodiment a method is used to determine the entrainment level based on an entrainment parameter related to HRV. The method first determines the power distribution spectrum (PSD) and then calculates an entrainment parameter (EP), which is a measure of the power distribution in the HRV spectrum. High EP values occur when this power is concentrated within a relatively narrow range of frequencies, and lower values when the power is distributed over a broader range of frequencies. In one embodiment, an apparatus is provided for monitoring the heart beat and presenting this information via a personal computer, handheld device, or other processing means.05-28-2009
20100268102IMPLANTABLE HEART MONITORING DEVICE, SYSTEM AND METHOD - In an implantable heart monitoring device and a monitoring method, an impedance is measured across at least part of an atrium, such that variation of the impedance is related to the volume change of the atrium. Values are stored at different occasions that indicate the rate of change of the measured impedance. The stored values are determined such that, when the device is used in a living being, the variation of the stored values will be related to the variation of the speed with which the atrium is filled with blood during the atrial diastole.10-21-2010
20080262365Detection and/or Monitoring of Diastolic Heart Failure - In an implantable medical device for detecting and/or monitoring the progression of diastolic heart failure (DHF), and a corresponding method, a parameter is measured that is indicative of left ventricular ejection fraction (LVEF), and a variable is also measured that is indicative of the workload of the patient, and a relation is determined between LVEF and the workload, and DHF is detected and/or the progression of DHF is monitored, dependent on this relation.10-23-2008
20090318822Methods and systems for analyzing t-wave alternants - Embodiments of the present invention relate to implantable systems, and methods for use therein, that can detect T-wave alternans and analyze the detected alternans to provide information regarding cardiac instabilities and predict impending arrhythmias.12-24-2009
20100185109"BLURRED TEMPLATE" APPROACH FOR ARRHYTHMIA DETECTION - An implantable medical device and associated method sense cardiac signals for deriving a template representing a known EGM waveform morphology and for classifying an unknown waveform morphology. A boundary of the template, offset from the template, is computed and compared to an unknown waveform morphology for classifying the unknown waveform morphology.07-22-2010
20100185110Method and System for Detecting and/or Predicting Biological Anomalies - Biological anomalies are detected and/or predicted by analyzing input biological or physical data using a data processing routine. The data processing routine includes a set of application parameters associated with biological data correlating with the biological anomalies. The data processing routine uses an algorithm to produce a data series, e.g., a PD2i data series. The data series is used to detect or predict the onset of the biological anomalies. To reduce noise in the data series, the slope is set to a predetermined number if it is less than a predetermined value. To further reduce noise, a noise interval within the data series is determined and, if the noise interval is within a predetermined range, the data series is divided by another predetermined number, and new values are produced for the data series.07-22-2010
20100262028ECG DATA PROCESSING SYSTEM AND METHOD - The invention discloses an ECG data processing system and method which process the ECG signal data collected by the system by using software. The method includes the following steps: A/D converting the collected data; performing high-pass filter process for the converted digital signal; performing low-pass filter process for the converted digital signal data; performing the QRS recognition algorithm; and determining whether an abnormal QRS wave occurs; if it does not occur, displaying the waveform; if the abnormal QRS wave occurs, storing the data during a predefined time before the abnormal QRS wave into the storage module, and recording the incident triggering time; and processing the recorded trigger incident. Compared with the prior art, this invention is more accurate for processing ECG signal data. It also provides effective data display, alarm functions, and improved and perfected ECG hardware structure.10-14-2010
20100160804MONITORING VARIATION PATTERNS IN PHYSIOLOGICAL PARAMETERS ASSOCIATED WITH MYOCARDIAL INSTABILITY - A method of analyzing myocardial instability includes obtaining a physiological parameter representative of myocardial behavior over a set of cardiac cycles and determining reversal points in the physiological parameter over the set of cardiac cycles. The method also includes identifying myocardial instability based on the reversal points in the physiological parameter. A reversal point may correspond to a value of the physiological parameter, during a current cardiac cycle, that exceeds or is less than the values of the physiological parameter during prior and subsequent cardiac cycles. Optionally, the method includes calculating differences between values of the physiological parameter for consecutive cardiac cycles and detecting the reversal points when a current difference exceeds or is less than differences for prior and subsequent cardiac cycles.06-24-2010
20120197148HEART RATE VARIABILITY SENSOR - A system for measuring heart rate variability (HRV) comprising 3 sub-systems: a data collection sub-system, a data analysis sub-system, and an output sub-system. A patient is connected to a heart monitoring device such as an ECG and the data collection sub-system records the patients heart beats, and an ECG chart is produced from which the patient's HRV value is derived by the data analysis sub-system. The present invention obtains the HRV value through calculation of a new parameter called relative density (RD). In accordance with the inventive method, data points are generated from the peak interval data of measured heart beats and the HRV relative density parameter (RD) is calculated by correlation between two subsets of data points.08-02-2012
20100217141METHODS AND SYSTEMS TO CORRELATE ARRHYTHMIC AND ISCHEMIC EVENTS - Systems and methods for determining whether there is a correlation between arrhythmias and myocardial ischemic episodes are provided. An implantable system (e.g., a monitor, pacemaker or ICD) is used to monitor for arrhythmias and to monitor for myocardial ischemic episodes. When such events are detected by the implantable system, the implantable system stores (e.g., in its memory) data indicative of the detected arrhythmias and data indicative of the detected myocardial, ischemic episodes. Then, for each detected arrhythmia, a determination is made based on the data, whether there was a myocardial ischemic episode detected within a specified temporal proximity of (e.g., within a specified amount of time of) the arrhythmia. Where a myocardial ischemic episode occurred within the specified temporal proximity of an arrhythmia, data for the two events can be linked. Additionally, when a log of arrhythmias is displayed, for each arrhythmia there is an indication of whether a myocardial ischemic episode was detected within the specified temporal proximity of the arrhythmia. This abstract is not intended to be a complete description of, or limit the scope of, the invention.08-26-2010
20100152598System for Heart Performance Characterization and Abnormality Detection - A system for heart performance characterization and abnormality detection, includes an acquisition device for acquiring an electrophysiological signal representing a heart beat cycle of a patient heart. A detector detects multiple parameters of the electrophysiological signal comprising at least one of, (a) amplitude, (b) time duration, (c) frequency and (d) time-frequency, representative parameters. A signal analyzer calculates at least one ratio of the detected parameters from ratios including, (i) ratio of T wave amplitude to P wave amplitude, (ii) ratio of time duration of ST wave to time duration of PR wave, (iii) ratio of a frequency of a PR wave to a frequency of a RT wave and (iv) ratio of a time-frequency measure of a PR wave to a time-frequency measure of a RT wave. A comparator determines whether a calculated ratio exceeds a predetermined upper limit threshold or a predetermined lower limit threshold. An output processor generates data representing an alert message in response to the calculated ratio exceeding a predetermined threshold.06-17-2010
20100222690Differentiating Ischemic From Non-Ischemic T-Wave Inversion - A method of discriminating between ischemic and cardiac memory effects in a heart, comprising receiving electrocardiographic (ECG) data, calculating, from the ECG data, a direction of a T-wave vector, diagnosing ischemia if the T-wave vector is between about 75 degrees and about 200 degrees, and diagnosing cardiac memory if the T-wave vector is between about zero degrees and minus 90 degrees. Also presented is a system for discriminating between ischemic and cardiac memory effects in a heart comprising means for performing an electrocardiogram, means for calculating a direction of a T-wave vector, means for diagnosing ischemia if the T-wave vector is between about 90 degrees and 180 degrees, and means for diagnosing cardiac memory if the T-wave vector is between about zero degrees and minus 90 degrees.09-02-2010
20130218036METHODS AND SYSTEMS TO CORRELATE ARRHYTHMIC AND ISCHEMIC EVENTS - Systems and methods for determining whether there is a correlation between arrhythmias and myocardial ischemic episodes are provided. An implantable system (e.g., a monitor, pacemaker or ICD) is used to monitor for arrhythmias and to monitor for myocardial ischemic episodes. When such events are detected by the implantable system, the implantable system stores (e.g., in its memory) data indicative of the detected arrhythmias and data indicative of the detected myocardial ischemic episodes. Then, for each detected arrhythmia, a determination is made based on the data, whether there was a myocardial ischemic episode detected within a specified temporal proximity of (e.g., within a specified amount of time of) the arrhythmia. Where a myocardial ischemic episode occurred within the specified temporal proximity of an arrhythmia, data for the two events can be linked. Additionally, when a log of arrhythmias is displayed, for each arrhythmia there is an indication of whether a myocardial ischemic episode was detected within the specified temporal proximity of the arrhythmia. This abstract is not intended to be a complete description of, or limit the scope of, the invention.08-22-2013
20110028856System for Heart Performance Characterization and Abnormality Detection - A system improves analysis, diagnosis and characterization of cardiac function signals (including surface ECG signals and intra-cardiac electrograms) based on cardiac electrophysiological activity momentum computation, characterization and mapping. The system calculates an electrophysiological signal momentum of different portions of cardiac signals including a timing, location and severity of cardiac pathology and improves reliability of diagnosis, detection, mapping to an identified medical condition, and characterization. The system improves identification of cardiac disorders, differentiation of cardiac arrhythmias, characterization of pathological severity, prediction of life-threatening events and supports evaluation of drug administration effects.02-03-2011
20090112109RECONSTRUCTION OF GEOMETRY OF A BODY COMPONENT AND ANALYSIS OF SPATIAL DISTRIBUTION OF ELECTROPHYSIOLOGICAL VALUES - An apparatus, system, and/or method for the reconstruction of geometry of a body component and analysis of spatial distribution of electrophysiological values. The shape of the body component is reconstructed based on coordinates associated with data points (e.g., electrophysiological values). The data points are interpolated to form a value distribution map. The value distribution map corresponds to the shape of the body component. A report (e.g., textual report, graphical report) is generated based on the data points and/or the value distribution map.04-30-2009
20110213261SYSTEMS AND METHODS FOR USE WITH SUBCUTANEOUS IMPLANTABLE MEDICAL DEVICES FOR DETECTING ELECTRODE/TISSUE CONTACT PROBLEMS - Techniques are provided for detecting problems involving electrode/tissue contact with extracardiac electrodes of subcutaneous monitoring devices, such as atrial fibrillation (AF) monitors. Briefly, subcutaneous impedance signals are detected using extracardiac sensing electrodes of the subcutaneous device. Problems involving poor electrode/tissue contact are then detected within the subcutaneous impedance signals. Depending upon its programming, the device can then inhibit the recording of subcutaneous electrocardiogram (ECG) data during periods of poor contact. Additionally, the device can identify the particular contact problem based on the impedance signals. In one example, the device identifies one or more of: acute instability of impedance indicative of intermittent electrode/tissue contact; impedance signal saturation indicative of loss of electrode/tissue contact; and impedance signal dropout indicative of the presence of liquids surrounding the electrodes (such as blood or edema accumulation.) Techniques for programming various modes of operation of the subcutaneous device are also provided.09-01-2011
20110130672SELF-ADJUSTING ECG MORPHOLOGICAL FEATURE CORRELATION THRESHOLD - An apparatus comprises first and second sensing circuits, a template generator circuit, and a correlation circuit. The correlation circuit is configured to identify a first fiducial position in a third cardiac signal sensed using the first sensing circuit during a detected rhythm with elevated ventricular rate, align the template correlation features and the correlation features of a fourth cardiac signal using the first fiducial position, calculate a correlation using the correlation features of the template and the correlation features of the fourth cardiac signal, and iteratively searching for a replacement to the first fiducial position in the third cardiac signal according to the calculated correlation.06-02-2011
20110040199Heart rate correction system and methods for the detection of cardiac events - A device for detecting a cardiac event is disclosed. Detection of an event is based on a test applied to a parameter whose value varies according to heart rate. Both the parameter value and heart rate (RR interval) are filtered with an exponential average filter. From these filtered values, the average change in the parameter and the RR interval are also computed with an exponential average filter. Before computing the average change in the parameter, large changes in the parameter over short times, which may be caused by body position shifts, are attenuated are removed, so that the average change represents an average of small/smooth changes in the parameter's value that are characteristic of acute ischemia, one of the cardiac events that may be detected. The test to detect the cardiac event depends on the heart rate, the difference between the parameter's value and its upper and lower normal values, and its average change over time, adjusted for heart rate changes. The upper and lower normal parameter values as a function of heart rate are determined from long term stored data of the filtered RR values and parameter values. Hysteeresis related data and transitory deviations from normal (e.g. vasospasm related data) are excluded from the computation of normal upper and lower parameter bounds.02-17-2011
20110245700DETECTION OF T-WAVE ALTERNANS PHASE REVERSAL FOR ARRHYTHMIA PREDICTION AND SUDDEN CARDIAC DEATH RISK STRATIFICATION - An implantable medical device and associated method for classifying a patient's risk for arrhythmias by sensing a cardiac electrogram (EGM) signal and selecting a first pair of T-wave signals and a second pair of T-wave signals. A first difference between the two T-wave signals of the first pair is compared to a second difference between the two T-wave signals of the second pair. A T-wave alternans phase reversal is detected in response to comparing the first difference and the second difference, and the patient's arrhythmia risk is classified in response to detecting the phase reversal.10-06-2011
20110125041ISCHEMIA MONITORING SYSTEM FOR PATIENTS HAVING PERIODS OF LEFT BUNDLE BRANCH BLOCK - A device for detecting cardiac ischemia is disclosed. The device includes a processor that is configured to distinguish between two different heart beats types such as left bundle branch block beats and normal sinus beats. The processor applies different ischemia tests to the two different beat types, and generates alert when it detects ischemia.05-26-2011
20110087121System for Continuous cardiac pathology detection and characterization - A system determines fractal values, a nonlinear fractal ratio and fractal data patterns in a heart and maps determined fractal values to medical conditions. A system for heart performance characterization and abnormality detection includes an interface for receiving sampled data representing an electrical signal indicating electrical activity of a patient heart over at least one heart beat cycle. A signal processor calculates, a first signal characteristic value comprising a first fractal dimension value derived from the sampled data over at least a portion of a heart beat cycle, a second signal characteristic value representing a computed derivative of the first fractal dimension value and a ratio of the first and second signal characteristic values. A comparator compares the calculated ratio with a threshold value to provide a comparison indicator. A patient monitor, in response to the comparison indicator indicating the calculated signal characteristic value exceeds the threshold value, generates an alert message associated with the threshold.04-14-2011
20110251506ADVANCED PATIENT MANAGEMENT WITH COMPOSITE PARAMETER INDICES - Systems, devices and methods for defining, identifying and utilizing composite parameter indices from health-related parameters are disclosed. One aspect is a programmable device having machine executable instructions for performing a method to assist with managing a patient's health. In various embodiments, a first set of at least two health-related parameters is acquired. A first composite parameter is generated using the first set of at least two health-related parameters. Other aspects and embodiments are provided herein.10-13-2011
20110251505METHODS, SYSTEM AND APPARATUS FOR THE DETECTION, DIAGNOSIS AND TREATMENT OF BIOLOGICAL RHYTHM DISORDERS - System, assembly and method are provided to facilitate reconstruction of cardiac information representing a complex rhythm disorder associated with a patient's heart to indicate a source of the heart rhythm disorder. The complex rhythm disorder can be treated by application of energy to modify the source of the rhythm disorder.10-13-2011
20110077542Methods, Systems and Devices for Detecting and Diagnosing Heart Diseases and Disorders - Disclosed herein methods, devices, and systems for detecting and diagnosing a heart disease or disorder in a subject from a prime electrocardiogram which comprises calculating at least one distribution function of the prime electrocardiogram and determining whether the distribution function is indicative of the presence of absence of the heart disease or disorder.03-31-2011
20110077541Methods and Systems for Characterizing Cardiac Signal Morphology Using K-Fit Analysis - A system and method for automatically analyzing a cardiac signal, including the step of providing an episode database on a computer storage medium including a plurality of episode data records of one or more patients. Each episode data record includes a cardiac signal from at least one data-generating device. The method also includes the step of selecting one or more of the N beats to be one or more beat templates, for at least a first cardiac signal having N beats. Another step is determining a value K for the cardiac signal using a computer system where K beat templates can represent all the N beats in the cardiac signal.03-31-2011
20110105928ECG Reconstruction For Atrial Activity Monitoring And Detection - A system includes a mobile unit having a plurality of electrodes, numbering less than ten, that are configured to contact a patient to obtain electrical signals therefrom, and a diagnostic center disposed remotely from the mobile unit. The mobile unit and/or the diagnostic center are configured to construct a first portion of an ECG (electrocardiogram) corresponding to a first portion of a cardiac cycle of the patient by processing information based on received electrical signals using a first set of transformation parameters corresponding to the first portion of the cardiac cycle. The first portion may correspond to atrial or ventricular activity.05-05-2011
20100004550BINARY LOGISTIC MIXED MODEL FOR COMPLEX FRACTIONATED ATRIAL ELECTROGRAM PROCEDURES - Methods and systems are provided for locating arrhythmogenic cardiac focus. A training set of electrical signal data is acquired and automatically analyzed to identify CFAE locations. The data representing the CFAE locations are and subjected to determinations of medical significance, such as ablation decisions, by a battery of physicians. The decisions and descriptive statistics of the data are fitted to a binary logistic mixed model, in which the physician decisions are treated as random effects. The model is then applied to patient CFAE data to establish estimates of medical significance, such as suitability for ablation.01-07-2010
20080214945Method and System for Atrial Fibrillation Analysis, Characterization, and Mapping - A method and system for atrial fibrillation analysis, characterization, and mapping is disclosed. A finite element model (FEM) representing a physical structure of a heart is generated. Electrogram data can be sensed at various locations in the heart using an electrophysiology catheter, and the electrogram data is mapped to the elements of the FEM. Function parameters, which measure some characteristics of AF arrhythmia, are then simultaneously calculated for all of the elements of the FEM based on the electrogram data mapped to the elements of the FEM. An artificial neural network (ANN) can be used to calculate the function parameters.09-04-2008
20110263995Comprehensive Myocardial Repolarization Capture Wave-Format Method - A method of displaying a cardiac cycle of a heart into a three set colorable waveform comprising a plurality electrocardiography data taken over a period of time, said cardiac cycle information comprising a P wave, a PR segment, a QRS complex, and a ST segment, the method comprising generating a first wave hump by recalculating said P wave by using the Time-Frequency domain to determine an influxes of data compensation; generating a second wave hump by recalculating said PR segment by using integral formulaic expressions; generating a third wave hump by recalculating said QRS complex and said ST segment by using Hilbert space in the inner product.10-27-2011
20100324435MORPHOLOGY DISCRIMINATION BASED ON INFLECTION POINT-RELATED INFORMATION - A morphology discrimination scheme extracts shape characteristics from cardiac signals and identifies an associated cardiac condition based on the shape characteristics. For example, internal data structures may be updated to match the shape characteristics of a known condition (e.g., a patient's normal sinus rhythm). Similarly acquired shape characteristics obtained in conjunction with a later event (e.g., QRS complexes acquired during a tachycardia episode) may be compared with the previously stored shape characteristics to characterize the later event. In some aspects the shape characteristics relate to inflection points of cardiac signals.12-23-2010
20100324436System, Method and Computer Program Product for Detection of Changes in Health Status and Risk of Imminent Illness - A method for analysis of cardiac rhythms and the clinical status of a patient, based on calculations of entropy and moments of time series intervals. An optimal determination is made of segments of data that demonstrate statistical homogeneity, specifically with regard to moments and entropy. The invention also involves calculating moments and entropy on each interval segments with the goal of diagnosis of cardiac rhythm. More specifically, an absolute entropy measurement is calculated, providing dynamic information of fundamental importance in diagnosis and analysis.12-23-2010
20110137193CONTINUOUS MONITORING OF RISK BURDEN FOR SUDDEN CARDIAC DEATH RISK STRATIFICATION - System and method for assessing a likelihood of a patient to experience a cardiac arrhythmia. A biological sensor is configured to sense biological parameters of the patient. A processor is coupled to the biological sensor and is configured to determine the likelihood of the patient experiencing a cardiac arrhythmia based, at least in part, on a combination of the biological parameters, the combination dynamically weighting each of the plurality of biological parameters based on another one of the plurality of biological parameters.06-09-2011
20110118617Heart Rate Measuring Device and Method for Measuring Heart Rate Thereof - This invention discloses a heart rate measuring device and a method for measuring heart rate thereof. The heart rate measuring device can be put on a user body. The heart rate measuring device includes a first electrode, a second electrode, a plurality of optical indicating units, a signal processing circuit and a control unit. When the user's both hands touch the first electrode and the second electrode, the control unit provides a heart signal by using the first electrode, the second electrode and the signal processing circuit. The control unit controls the optical indicating units to output electrocardiographic signals.05-19-2011
20090005696Method for quantitative assessment of the autonomic nervous system based on heart rate variability analysis - A method is provided for characterizing autonomic nervous system activity of a patient based on heart rate variability analysis using electrocardiographic data from the patient. In addition, a computer-readable medium is provided tangibly embodying a program of instructions executable by a computer to perform a method for characterizing autonomic nervous system activity of a patient based on heart rate variability analysis using electrocardiographic data from the patient. Also, a system is provided for characterizing autonomic nervous system activity of a patient comprising a processor and a machine-readable medium tangibly embodying a program of instructions executable by the processor.01-01-2009
20130012827Use of Patterns in Processing on Mobile Monitoring Device and Computer System - A system include circuitry to receive information from a mobile device including ECG data representative of a beating heart, circuitry to analyze the ECG data using at least one pattern to detect a notable finding in the ECG data and circuitry to determine at least one pattern to send to the mobile device, based on the analysis of the ECG data. The system sends the at least one determined pattern to the mobile device.01-10-2013
20110306894SYSTEMS, METHODS AND APPARATUS FOR ACQUIRING AND MANAGING PATIENT/SUBJECT DATA - An ECG acquisition device including a central processing unit, an input interface connected to the central processing unit for acquiring subject biometric data, a memory module connected to the central processing unit for storing the subject biometric data and ECG data, and a user interface connected to the central processing unit for initiating acquisition of the subject biometric and ECG data. The ECG acquisition device is connected to a site PC for downloading and managing the ECG and biometric data, which is transmitted to a Clinical Information System by the site PC.12-15-2011
20100198092METHOD AND APPARATUS FOR PHYSIOLOGICAL ASSESSMENT IN MAMMALS - A method and tool for comparing mammals, such as horses, the tool including an electrode; an electronic heartbeat measurement instrument; an analyzer for determining an output indicative of adaptability, reactivity, or equanimity; and a plotting system for plotting the temperament parameter or temperament quotient on a grid. The tool is used to provide a value for the sympathetic nervous system index (SNSI), the parasympathetic nervous system index (PNSI), or the standard deviation of average mode normal to normal intervals (SDMNN). This value is correlated to a selected characteristic of the mammal.08-05-2010
20120046564METHODS AND SYSTEMS TO MONITOR AND IDENTIFY TRANSIENT ISCHEMIA - A system and method are provided for monitoring ischemic development. The system and method identify a non-physiologic event and obtain cardiac signals along multiple sensing vectors, wherein at least a portion of the sensing vectors extend to or from electrodes located proximate to the left ventricle. The system and method monitor a segment of interest in the cardiac signals obtained along the multiple sensing vectors to identify deviations in the segment of interest from a baseline. The system and method record at least one of timing or segment shift information associated with the deviations in the segments of interest; and identify at least one of size, direction of development or rate of progression of an ischemia region based on the at least one of timing or segment shift information.02-23-2012
20120004567RHYTHM CORRELATION DIAGNOSTIC MEASUREMENT - An ambulatory medical device includes a cardiac activity sensing circuit and a processing circuit. The processing circuit includes a correlation circuit and a rhythm discrimination circuit. The correlation circuit generates an indication of correlation between each of at least a portion of the cardiac depolarizations and a stored template representative of a normal sinus rhythm. The rhythm discrimination circuit is configured to compare the indications of correlation to a specified correlation threshold value, classify the information representative of cardiac activity as a specific cardiac rhythm using the comparison, and identify at least one indication of correlation that determines the classification. The processing circuit provides the identified indication of correlation to a user or process.01-05-2012
20120059272MEDICAL DEVICE AND METHOD FOR DETERMINING A DYSSYNCHRONICITY MEASURE TECHNICAL FIELD - In an implantable medical device, such as a bi-ventricular pacemaker and a method for detecting and monitoring mechanical dyssynchronicity of the heart, a dyssynchronicity measure indicating a degree of mechanical dyssynchronicity of a heart of a patient is calculated. A first intracardiac impedance set is measured using electrodes placed such that the first intracardiac impedance set substantially reflects a mechanical activity of the left side of the heart and a second intracardiac impedance set is measure using electrodes placed such that the second intracardiac impedance set substantially reflects a mechanical activity of the right side of the heart. The measure of a dyssynchronicity is calculated based on a resulting parameter set from a comparison between at least a subset of the first and the second impedance sets, respectively, the subsets containing information of the mechanical systole, wherein a reduced dyssynchronicity measure corresponds to an improved synchronicity between the right side and the left side of the heart.03-08-2012
20120071775DETECTING OR VALIDATING A DETECTION OF A STATE CHANGE FROM A TEMPLATE OF HEART RATE DERIVATIVE SHAPE OR HEART BEAT WAVE COMPLEX - Methods, systems, and apparatus for detecting and/or validating a detection of a state change by matching the shape of one or more of an cardiac data series, a heart rate variability data series, or at least a portion of a heart beat complex, derived from cardiac data, to an appropriate template.03-22-2012
20110066055SYSTEM AND METHOD FOR USE WITH AN IMPLANTABLE MEDICAL DEVICE FOR DETECTING STROKE BASED ON PHYSIOLOGICAL AND ELECTROCARDIAC INDICES - Techniques are provided for detecting stroke within a patient using an implantable medical device. In one example, various electrocardiac and physiological signals are sensed within the patient by the implantable device. The device derives a set of indices from the sensed signals based on parameters affected by stroke. Stroke is then detected within the patient based on an examination of the set of indices. Warnings can then be generated, neurostimulation delivered, pacing therapy adjusted, medications dispensed, etc., in response to the stroke. In one particular example, the set of indices includes: a heart rate variability index; a heart rate turbulence index; a baroreflex index; a QT index; a respiration index; and a circadian variability index, from which a composite stroke index is derived. Time delta indices may also be generated for each individual index, which are exploited in generating the composite stroke index.03-17-2011
20120136264System for Ventricular Function Abnormality Detection and Characterization - A system for heart performance characterization and abnormality detection includes an interface for receiving signal data representing an electrical signal indicating electrical activity of a patient heart over multiple heart beat cycles. A filter extracts first signal component data in a first selected bandwidth and first heart cycle portion of the received signal data and second signal component data in a different second selected bandwidth and second heart cycle portion of the received signal data. A signal processor uses the received signal data in calculating a ratio of a first value derived from the first signal component data to a second value derived from the second signal component data. A patient monitor in response to the calculated ratio or value derived from the calculated ratio, generates an alert message associated with the threshold.05-31-2012
20100174205Method, System and Software Product for the Measurement of Heart Rate Variability - The invention relates to a method, system, and software product for measuring heart rate variability. The method comprises displaying an animation that indicates to the user when to breathe in and breathe out, receiving a signal from a sensor responsive to the heart beat of the user, processing the received signal to determine heart beat intervals of the user and calculating a measure of heart rate variability of the user from the processed heart beat intervals.07-08-2010
20100274146DYNAMIC SELECTION OF ALGORITHMS FOR ARRHYTHMIA DETECTION - An apparatus comprises a first implantable sensor produces a first electrical sensor signal representative of cardiac depolarization events of a heart of a subject, a second implantable sensor that produces a second electrical sensor signal representative of hemodynamic function of the heart, a signal analyzer circuit, and an arrhythmia discrimination circuit. The signal analyzer circuit detects an arrhythmic event from the first sensor signal and calculates hemodynamic stability in response to the arrhythmic event detection using the second sensor signal. The arrhythmia discrimination circuit selects, according to a calculated hemodynamic stability produced by the signal analyzer circuit, an arrhythmia discrimination algorithm from among a plurality of candidate arrhythmia discrimination algorithms that are implementable by the arrhythmia discrimination circuit, classifies the detected arrhythmia using the selected arrhythmia discrimination algorithm, and provides the arrhythmia classification to a user or process.10-28-2010
20100274147DETECTING ISCHEMIA WITH NONLINEAR HEART RATE VARIABILITY MEASURES - Systems and methods include accessing a plurality of cardiac indications. A heart rate variability metric is produced by analyzing the plurality of cardiac indications using a measurement from a class of nonlinear measurements. Nonlinear measurements include, but are not limited to, approximate entropy, X-Y scatter from a Poincaré plot, fractal dimension, and detrended fluctuation analysis, in various examples. Based on the heart rate variability metric, a cardiac ischemic state is detected.10-28-2010
20120232416METHODS & SYSTEMS TO DETERMINE MULTI-PARAMETER MANAGED ALARM HIERARCHY DURING PATIENT MONITORING - The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.09-13-2012
20080300497METHOD AND APPARATUS FOR DETECTING NOISE IN AN IMPLANTABLE MEDICAL DEVICE - An implantable medical device and associated method monitor a physiological signal for sensing physiological events and detecting a physiological condition in response to the sensed physiological events. The device senses a first event from the physiological signal, senses a noise signal in the physiological signal and senses a next event from the physiological signal wherein the first event and the next event define a signal interval. The signal interval is declared as a noisy interval in response to the sensed noise signal.12-04-2008
20120265087METHODS AND DEVICES FOR DETERMINATION OF HEART ARRHYTHMIA TYPE - The type of arrhythmia in a patient's heart can be determined by monitoring the atrial and ventricular rate of the heart; detecting a pathological initial ventricular and/or atrial rate during a first time period; if a pathological initial rate is detected, then administering at least one antiarrhythmic cardioactive drug over a short second time period; detecting the heart's response to the administered drug(s), as by comparing the responsive ventricular and atrial rates with the initial ventricular and atrial rates, respectively, within a third time period; and determining the type of atrial or ventricular arrhythmia from the presence or absence of differences, and the type of differences, between the responsive atrial and ventricular rates compared with the initial atrial and ventricular rates. The invention further involves a related device which includes an implantable cardiac device (10-18-2012
20120265086ELECTROCARDIOGRAPHIC ASSESSMENT OF ARRHYTHMIA RISK - Systems and methods are provided in the disclosure for estimating a risk of arrhythmia in a patient using electrocardiographic analysis. In certain aspects, a method of estimating a risk of arrhythmia in a patient is provided. The method comprises receiving electrocardiographic signals of the patient from a plurality of leads over a plurality of heart beats, averaging the electrocardiographic signals to produce an averaged electrocardiographic signal, and determining deflections in the averaged electrocardiographic signal, wherein each deflection has an amplitude and a duration. The method further comprises determining a significance of each deflection based on whether the amplitude of that deflection exceeds a threshold, and estimating a risk of arrhythmia in the patient based on at least one of a number, the amplitudes, and the durations of the significant deflections within a portion of the averaged electrocardiographic signal.10-18-2012
20110270105TIME DOMAIN MONITORING OF MYOCARDIAL ELECTRICAL STABILITY - Embodiments of the present invention relate to implantable systems, and methods for use therewith, for monitoring myocardial electrical stability. A patient's heart is paced for a period of time using a patterned pacing sequence that repeats every N beats, and an electrical signal is obtained that is representative of a plurality of consecutive beats of the patient's heart while it is being paced using the patterned pacing sequence that repeats every N beats. Myocardial electrical stability is then analyzed using time domain techniques that are tailored to the patterned pacing sequence used to pace the patient's heart. In other embodiments, the patient's heart need not be paced. This abstract is not intended to be a complete description of, or limit the scope of, the invention.11-03-2011
20110319779RHYTHM DISCRIMINATION USING INFORMATION INDICATIVE OF LEAD MOTION - Systems and methods for rhythm discrimination using the motion of an implantable lead are described. In an example, an implantable medical device can include a receiver circuit configured to be electrically coupled to an implantable lead and be configured to obtain information indicative of a movement of the implantable lead due at least in part to a motion of a heart. The device can include an arrhythmia detection circuit configured to determine an arrhythmia status using the information indicative of the movement of the implantable lead and an arrhythmia classification circuit configured to determine one or more of a location or a type of an arrhythmia, using the information indicative of the movement of the implantable lead, when the arrhythmia status indicates that an arrhythmia is occurring or has occurred.12-29-2011
20120101397LATE POTENTIAL DETECTION - A late potential detecting system has an implantable medical device connected to at least one cardiac lead having implantable electrodes positioned at different sites of a ventricle myocardium. A sampling unit of the implantable medical device records electrogram samples for the different implantable electrodes to get different sample sets. The electrogram samples of the sample sets are time synchronized and magnitude potential representations of the potential data of the electrogram samples are determined. The magnitude potential representations of the time synchronized electrogram samples are then co-processed and used for determining a parameter that is indicative of any late potentials of the monitored ventricle.04-26-2012
20100286541DETECTING ELECTRICAL CONDUCTION ABNORMALITIES IN A HEART - Techniques are described for detecting conduction abnormalities in a heart of a patient. In particular, an IMD may be configured to obtain electrical signals corresponding to cardiac activity of the heart of the patient and periodically analyze a most recent electrical signal of the obtained electrical signals to detect an electrical conduction abnormality of the heart. The IMD adjusts a frequency at which the most recent electrical signal is analyzed based on at least one physiological parameter of the patient. For example, the IMD may increase the frequency at which the most recent electrical signal is analyzed when a heart rate parameter has significantly changed and the number of detected premature ventricular contractions (PVCs) is greater than or equal to a threshold number. In this manner, the most recent electrical signal is analyzed at a higher frequency in situations in which conduction abnormalities are more likely.11-11-2010
20120283589ARRHYTHMIA DETECTION BASED ON ACTIVE MUSCLE NOISE DETECTION - Implantable electromedical device or loop recorders or ILRs that solve the problem of very low arrhythmia detection specificities in, i.e., high number of false positives, based on detection and analysis of external noise, specifically muscle noise surrounding the electromedical device. Embodiments generally employ active detection of lead or device movement that induces signal artifacts indicative of external noise. One or more embodiments may detect lead or device movement through use of a piezoelectric transducer, for example located proximally to the device or in the lead of the electromedical.11-08-2012
20120029373PREVENTION OF FALSE ASYSTOLE OR BRADYCARDIA DETECTION - In general, this disclosure is directed to signal processing based methods to reject undersensing in a signal indicative of cardiac activity, e.g., ECG. The undersensing may be due to very small signal amplitudes or due to a sudden increase in single peak amplitude resulting in an increased sensing threshold. The undersensing may result in falsely detecting a cardiac event, e.g., asystole or bradycardia. The techniques of this disclosure monitor the behavior of the signal to determine when a detected asystole is false.02-02-2012

Patent applications in class Detecting arrhythmia

Patent applications in all subclasses Detecting arrhythmia