| Patent application number | Description | Published |
|---|
| 20080270036 | SYSTEMS AND METHODS FACILITATING AUXILIARY ANALYSIS OF DATA FROM IMPLANTED MEDICAL DEVICES - Systems and methods facilitating auxiliary analysis of data collected by an implanted medical device employ a software application user interface, through which an analysis service may be invoked for a selected group of data sets collected from an implanted device; the group of data sets includes data sets that describe episodes detected and classified by an analysis performed by the device, and/or data sets that describe events indicative of a device integrity issue. The user interface informs, or notifies a user of the system if any of the results warrant further review of the corresponding data sets, and may display an organized report of results from the automated analysis. The report may be organized such that those results, which warrant further review, are displayed in a more prominent fashion than other results. | 10-30-2008 |
| 20090292331 | METHOD AND APPARATUS FOR IDENTIFYING OVERSENSING USING FAR-FIELD INTRACARDIAC ELECTROGRAMS AND MARKER CHANNELS - A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far-field electrogram (EGM) signals are analyzed to detect the occurrence of R-waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc. Identification of the type of oversensing may be determined by analysis of the number and pattern of marker channel sensed R-waves with respect to the timing of the R-waves detected from the far-field EGM. | 11-26-2009 |
| 20090299432 | IMPEDANCE VARIABILITY ANALYSIS TO IDENTIFY LEAD-RELATED CONDITIONS - In general, the disclosure relates to techniques for calculating mean impedance values and impedance variability values to detect a possible condition with a lead or device-lead pathway or connection. In one example, a device may be configured to determine an impedance value for an electrical path based on a plurality of measured impedance values for the electrical path, wherein the electrical path comprises a plurality of electrodes, and to determine an impedance variability value based on at least one of the plurality of measured impedance values. The device may be further configured to determine a threshold value based on the determined impedance value and the impedance variability value, compare a newly measured impedance value for the electrical path to the threshold value, and indicate a possible condition of the electrical path based on the comparison. | 12-03-2009 |
| 20100030575 | PATIENT MANAGEMENT SYSTEM - Embodiments of the present invention provide a system in which a medical device selects less than all of its stored information and provides the selected subset of information to a data mart for storage, processing, and/or communication to one or more interested parties. In many embodiments, customers, patients, or even components of the medical device or of the remote patient management system can access selected medical device information (e.g., customers can access medical device information tailored to the care they are providing to one or more patients). In many embodiments, customers can receive such medical device information according to a schedule that best suits their care (or whenever they desire such information, irrespective of a schedule). In many embodiments, providing less than full transmissions to the data mart reduces the strain on medical device batteries. | 02-04-2010 |
| 20110098765 | DETECTING LEAD RELATED CONDITION DURING DELIVERY OF THERAPEUTIC ELECTRICAL SIGNALS - In general, the disclosure describes techniques for detecting lead related conditions, such as lead fractures or other lead integrity issues. As described herein, lead related conditions are identified by detecting delivered energy and electrical path impedance during delivery of a therapeutic electrical to a patient. If one or both of the delivered energy and impedance traverse respective thresholds, a lead related condition may exist. The energy delivered during the electrical signal may be compared to the amount of energy the electrical signal was programmed to deliver to determine if the delivered energy is less than a threshold percentage of the programmed energy of the electrical signal. The impedance of the electrical path through which the therapeutic electrical signal is delivered may be compared to a threshold impedance value to determine if the impedance detected during the electrical signal is greater than the threshold. | 04-28-2011 |
| 20110184481 | STORAGE OF DATA FOR EVALUATION OF LEAD INTEGRITY - In general, the disclosure describes techniques for storing data corresponding to sensed high-rate non-sustained episodes that occur close in time to detection of a lead integrity condition. A method comprises detecting a first high-rate non-sustained episode, activating a data storage operation for storing data associated with high rate non-sustained episodes in response to detecting the first episode, and storing data associated with the first episode in an episode log in response to activating the data storage operation. Another method comprises detecting a lead integrity condition, and activating a data storage operation for storing data associated with high rate non-sustained episodes in response to detecting the condition. | 07-28-2011 |
| 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 |
| 20120108992 | MORPHOLOGY 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 |
| 20120108994 | MORPHOLOGY 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 |
| 20120109238 | AUTOMATIC PERSONALIZATION OF PARAMETER SETTINGS AND ALGORITHMS IN A MEDICAL DEVICE - A system includes a data retrieval module and a determination module. The data retrieval module receives a command from a user, the command indicating a first implantable medical device (IMD) and a second IMD. The data retrieval module also retrieves a first set of data from the first IMD in response to the command and retrieves a second set of data from a datastore. The second set of data includes data retrieved from the first IMD and stored in the datastore prior to receiving the command. The determination module determines a third set of data based on the first and second sets of data and transfers the third set of data to the second IMD. | 05-03-2012 |
