Patent application number | Description | Published |
20110172727 | REDUCING INAPPROPRIATE DELIVERY OF THERAPY FOR SUSPECTED NON-LETHAL ARRHYTHMIAS - An implantable medical device (IMD) identifies suspected non-lethal ventricular arrhythmia, and takes one or more actions in response to the identification to avoid or delay delivery of a defibrillation or cardioversion shock. The IMD employs number of intervals to detect (NID) thresholds for detection of ventricular arrhythmias. When a NID threshold is met, the IMD determines whether the ventricular rhythm is a suspected non-lethal rhythm despite satisfying a NID threshold. In some embodiments, the IMD increases the NID threshold, i.e., extends the time for detection, in response to identifying a rhythm as a suspected non-lethal rhythm, and monitors subsequent ventricular beats to determine if the increased NID threshold is met before detecting a ventricular arrhythmia and delivering therapy. The IMD can determine whether a rhythm is a suspected non-lethal arrhythmia by, for example, comparing the median ventricular cycle length (VCL) to the median atrial cycle length (ACL). | 07-14-2011 |
20120016432 | EVALUATION OF IMPLANTABLE MEDICAL DEVICE DATA - A system includes an episode classification module and a data retrieval module. The episode classification module receives electrograms (EGMs) from N implantable medical devices (IMDs) and determines whether the EGMs are associated with deliveries of therapy by the N IMDs. The episode classification module analyzes at least some of the EGMs and determines whether the deliveries or non-deliveries of therapy by the IMDs were appropriate. The data retrieval module receives a request from a computing device, via a network, that indicates at least two groups of the N IMDs. The data retrieval module provides to the computing device via the network, in response to the request, data for presentation to a user that indicates for each of the groups, at least one of how many of the one or more deliveries or non-deliveries were appropriate, or how many of the one or more deliveries or non-deliveries were inappropriate. | 01-19-2012 |
20120109243 | HEART FAILURE MONITORING AND NOTIFICATION - Techniques for generating a heart failure risk score with detected patient metrics are described. An implantable medical device (IMD) may collect and store patient data regarding therapy use statistics, thoracic impedance, heart rate, patient activity, and other patient metrics. Based on the number of patient metrics exceeding their respective metric thresholds, the IMD may automatically generate a risk score that indicates the likelihood that the patient will suffer from heart failure. The risk score may identify a patient as requiring immediate medical attention to reduce the risk of heart failure. The IMD may push an alert of the heart failure risk score to a clinician, and the clinician may review the patient metric data on an external device. In some examples, a clinician may prioritize patient treatment with a presented list ranking patients with the most severe heart failure risk scores. | 05-03-2012 |
20120253207 | HEART FAILURE MONITORING - Techniques for transmitting diagnostic information stored in an implantable medical device (IMD) based on patient hospitalization are described. For example, the IMD may transmit higher resolution diagnostic information to a clinician and/or an external device during a hospitalization period to aid the clinician in evaluating heart failure treatment and when discharge is proper. This higher resolution diagnostic information may include one or more patient metrics automatically generated and transmitted by the IMD at least once every two hours. During a post-hospitalization period, the IMD may transmit lower resolution diagnostic information to a clinician that indicates a risk level of re-hospitalization. The lower resolution diagnostic information may include the risk level and/or patient metrics once a day, for example. In this manner, the IMD transmitted diagnostic information may be tailored to the specific heart failure monitoring needed by the patient. | 10-04-2012 |
20130085403 | ELECTROGRAM SUMMARY - The present disclosure is directed to an electrogram summary. In various examples, a subset of cardiac episodes are selected and displayed based on a set of summary rules. The subset of cardiac episodes includes at least one episode from each of a plurality of episode categories with at least one cardiac episode. In some examples, the order in which the cardiac episodes selected are displayed is based on the set of summary rules. The electrogram summary may include images or information regarding each of the selected cardiac episodes. | 04-04-2013 |
20130085406 | ELECTROGRAM SUMMARY - The present disclosure is directed to generating and displaying an electrogram (EGM) summary for use by physicians or other clinicians. An implantable medical device (IMD) transmits EGM signal data for a number of cardiac episodes to an external computing device. The external computing device selects a subset of the cardiac episodes for which information or images are displayed to the user. In various examples, cardiac episodes may be selected for display based at least in part on a retrospective analysis classification of the cardiac episode. | 04-04-2013 |
20130110834 | AGGREGATING CARDIAC RESYNCHRONIZATION THERAPY DATA | 05-02-2013 |
20140046690 | MANAGEMENT AND DISTRIBUTION OF PATIENT INFORMATION - Techniques, systems, and devices, for generating a patient management report based on clinician input and patient data are described. For example, one or more processors may be configured to receive a clinician input selecting at least one reporting characteristic for each of a plurality of diagnostic metrics and organize the diagnostic metrics based on the selected reporting characteristic. In addition, the one or more processors may be configured to receive patient data for at least one patient, determine a value for at least a subset of the diagnostic metrics based on the patient data, and generate a patient management report comprising the diagnostic metrics having a value that exceeds a respective threshold. The diagnostic metrics may be ordered in the patient management report based on the organization. | 02-13-2014 |
20140088662 | REDUCING INAPPROPRIATE DELIVERY OF THERAPY FOR SUSPECTED NON-LETHAL ARRHYTHMIAS - An implantable medical device (IMD) identifies suspected non-lethal ventricular arrhythmia, and takes one or more actions in response to the identification to avoid or delay delivery of a defibrillation or cardioversion shock. The IMD employs number of intervals to detect (NID) thresholds for detection of ventricular arrhythmias. When a NID threshold is met, the IMD determines whether the ventricular rhythm is a suspected non-lethal rhythm despite satisfying a NID threshold. In some embodiments, the IMD increases the NID threshold, i.e., extends the time for detection, in response to identifying a rhythm as a suspected non-lethal rhythm, and monitors subsequent ventricular beats to determine if the increased NID threshold is met before detecting a ventricular arrhythmia and delivering therapy. The IMD can determine whether a rhythm is a suspected non-lethal arrhythmia by, for example, comparing the median ventricular cycle length (VCL) to the median atrial cycle length (ACL). | 03-27-2014 |
20140330147 | ELECTROGRAM SUMMARY - Example techniques, systems, and devices select one or more portions of EGM signal data for presentation based on an identified cardiac episode type of the EGM signal data. For example, one or more processors are configured to receive cardiac electrogram (EGM) signal data collected from a medical device associated with a patient. The EGM signal data may include a detected cardiac episode identified as one of a plurality of episode types. The one or more processors may also be configured to select, based on the identified one of the plurality of episode types, one or more portions of the EGM signal data associated with the detected cardiac episode, and output the selected one or more portions of the EGM signal data. | 11-06-2014 |