Abstract: Wearable, automatic external, and implantable defibrillators, as well as methods of operation in such systems, are disclosed with shock delivery mitigations to avoid delivering a defibrillation shock on a T-wave. Prior to issuance of a defibrillation shock, one or more detected cardiac events are analyzed to characterize a detected event that is sensed for purposes of synchronizing the defibrillation shock. The detected event can be characterized as an R-wave or a T-wave, and the shock delivery protocol is then selected based on the characterization of the detected event to avoid shock-on-T and potential pro-arrhythmia.

Abstract: Wearable, automatic external, and implantable defibrillators, as well as methods of operation in such systems, are disclosed with shock delivery mitigations to avoid delivering a defibrillation shock on a T-wave. Prior to issuance of a defibrillation shock, one or more detected cardiac events are analyzed to characterize a detected event that is sensed for purposes of synchronizing the defibrillation shock. The detected event can be characterized as an R-wave or a T-wave, and the shock delivery protocol is then selected based on the characterization of the detected event to avoid shock-on-T and potential pro-arrhythmia.

Abstract: An implantable medical device (IMD) system communicates to a user information regarding the surrounding biological environment and the influence of that surrounding biological environment on IMD functionality. This influence can be static or dynamic. Providing information on the biological environment can assist the user in determining therapy parameters for an individual patient with an IMD.

Abstract: An implantable medical device (IMD) system communicates to a user information regarding the surrounding biological environment and the influence of that surrounding biological environment on IMD functionality. This influence can be static or dynamic. Providing information on the biological environment can assist the user in determining therapy parameters for an individual patient with an IMD.

Abstract: A method and system for discriminating ventricular arrhythmia is disclosed. In an embodiment, the method can include implementing an arrhythmia discrimination algorithm that can discriminate between supraventricular tachycardia (SVT) and ventricular tachycardia (VT) using at least one programmable parameter programmed to a first value. The method can include analyzing an SVT event, where analyzing the SVT event can include sensing a physiological signal during the SVT event and identifying characteristics of the sensed physiological signal. The method can further include analyzing a cardiac signal to classify the cardiac signal as either an SVT or a VT using the arrhythmia discrimination algorithm with the programmable parameter (programmed to a second value. The second value can be determined from the identified characteristics of the sensed physiological signal.

Abstract: An apparatus comprises a primary cardiac signal sensing circuit configured to sense at least a first cardiac signal, a secondary cardiac signal sensing circuit configured to sense a secondary cardiac signal, and a control circuit. The control circuit includes a noise detection circuit that has an alignment circuit. The alignment circuit is configured to align a segment of the sensed first cardiac signal with a segment of the sensed secondary cardiac signal. The noise detection circuit configured to determine a number of turns in the first cardiac signal segment, determine a number of turns in the secondary cardiac signal segment, generate an indication of noise in the first and secondary cardiac signals according to the determined number of turns, and provide the indication of noise to a user or process.

Abstract: A method and system for discriminating ventricular arrhythmia is disclosed. In an embodiment, the method can include implementing an arrhythmia discrimination algorithm that can discriminate between supraventricular tachycardia (SVT) and ventricular tachycardia (VT) using at least one programmable parameter programmed to a first value. The method can include analyzing an SVT event, where analyzing the SVT event can include sensing a physiological signal during the SVT event and identifying characteristics of the sensed physiological signal. The method can further include analyzing a cardiac signal to classify the cardiac signal as either an SVT or a VT using the arrhythmia discrimination algorithm with the programmable parameter (programmed to a second value. The second value can be determined from the identified characteristics of the sensed physiological signal.

Abstract: A system comprises a physiologic sensing circuit configured to generate physiologic data for a subject and a processing circuit. The processing circuit includes a data parsing circuit configured to parse the physiologic data to identify one or more physiologic events and a report generation circuit. The report generation circuit is configured to associate narrative text with the identified physiologic events according to a text generating rule and generate a narrative report for the identified physiologic events using the narrative text.

Abstract: An apparatus comprises a primary cardiac signal sensing circuit configured to sense at least a first cardiac signal, a secondary cardiac signal sensing circuit configured to sense a secondary cardiac signal, and a control circuit. The control circuit includes a noise detection circuit that has an alignment circuit. The alignment circuit is configured to align a segment of the sensed first cardiac signal with a segment of the sensed secondary cardiac signal. The noise detection circuit configured to determine a number of turns in the first cardiac signal segment, determine a number of turns in the secondary cardiac signal segment, generate an indication of noise in the first and secondary cardiac signals according to the determined number of turns, and provide the indication of noise to a user or process.

Abstract: 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.