Abstract: Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. A preferred sensing configuration may be selected at a given point in time, for example under clinical conditions. Signal quality for the preferred sensing configuration is then monitored, and if the signal quality degrades under selected conditions, re-analysis may be performed to select a different sensing vector configuration for at least temporary use. If signal quality increases for the preferred sensing configuration, temporary use of the different sensing vector configuration may cease and reversion to the preferred sensing configuration takes place if certain conditions are met. The conditions for reversion may depend in part of a history of sensing signal quality for the preferred sensing configuration.

Abstract: Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. Signals from multiple vectors may be combined using weighting factors and/or by conversion to different coordinate systems than the original inputs, which may or may not be normalized to patient anatomy. Signals from multiple sensing vectors may be combined prior to or after several analytical steps or processes including before or after filtering, and before or after cardiac cycle detection. Cardiac cycle detection information may be combined across multiple sensing vectors before or after analysis of individual vectors for noise or overdetection. Cardiac cycle detection information may also be combined across multiple sensing vectors to identify noise and/or overdetection.

Abstract: New and alternative approaches to the monitoring of cardiac signal quality for external and/or implantable cardiac devices. In one example, signal quality is monitored continuously or in response to a triggering event or condition and, upon identification of a reduction in signal quality, a device may reconfigure its sensing state. In another example, one or more trends of signal quality are monitored by a device, either continuously or in response to a triggering event or condition, and sensing reconfiguration may be performed in response to identified trends and events. In yet another example, a device may use a looping data capture mode to track sensing data in multiple vectors while primarily relying on less than all sensing vectors to make decisions and, in response to a triggering event or condition, the looped data can be analyzed automatically, without waiting for additional data capture to reconfigure sensing upon identification of the triggering event or condition.

Abstract: Systems and methods for managing machine-generated medical events detected from one or more patients are described herein. A medical event management system includes an event analyzer circuit to detect a medical event using physiological data from a patient-triggered episode acquired from a medical device. The event analyzer circuit determines a confidence score of the medical event detection, and generates an alignment indicator indicating a degree of concordance between the detected medical event and the information about the patient-triggered episode. The system assigns priority information to the patient-triggered episode using the generated alignment indicator and the confidence score of the detection. An output circuit can output the received physiological information to a user or a process according to the assigned priority information.

Abstract: Systems and methods for monitoring patient for syncope are discussed. A syncope monitor system can detect a precipitating event associated with a syncope onset, and acquire hemodynamic data in response to the detection of the precipitating event. A syncope analyzer circuit may generate temporal profiles of one or more hemodynamic parameters using the hemodynamic data. The syncope analyzer may use the temporal profiles to detect a syncopal event and to classify the syncopal event into one of a plurality of syncope categories. The detection and classification information may be output to a user or a process.

Abstract: In some examples, cardiac cycle detection may be used as an approach to cardiac activity tracking, with one or more second approaches to cardiac activity tracking also available for use. Additional rate measurement relying on different sources or analyses may require extra power consumption over the cycle detection methods. Therefore, new methods and devices are disclosed that selectively activate a second cardiac rate measurement. In some illustrative methods and devices, decisions are made as to whether and which previously collected data, if any, is to be discarded, replaced, or corrected upon activation of the second cardiac rate measurement. In some illustrative methods and devices, a cardiac cycle detection approach to cardiac activity tracking may be bypassed by a second cardiac rate measurement.

Abstract: Methods and devices adapted for cardiac signal analysis. A method or device has accessible to it more than one approach to cardiac cycle rate analysis and is adapted to monitor sensing signal quality. In response to an apparent reduction in signal quality or other trigger, the method or device checks whether an arrhythmia or an actual drop in signal quality is occurring prior to modifying sensing configurations or parameters.

Abstract: This document discusses, among other things, systems and methods for monitoring a patient at risk of epilepsy. A system comprises a sensor circuit that senses from the patient at least first and second physiological or functional signals. A wellness detector circuit can detect an epileptic event using the sensed physiological or functional signals, or additionally classify the epileptic event into one of epileptic seizure types. The system can generate a wellness indicator based on a trend of the physiological or functional signal during the detected epileptic event. The wellness indicator indicates an impact of the detected epileptic event on the health status of the patient. The system includes an output unit configured to output the detection of the epileptic event or the wellness indicator to a user or a process.

Abstract: An apparatus includes a posture sensing circuit configured to detect a change in posture of a subject; a cardiac signal sensing circuit configured to generate a sensed cardiac signal, wherein the sensed cardiac signal includes heart rate information of the subject; a physiologic sensing circuit configured to generate a sensed physiologic signal, wherein the physiologic signal includes information related to blood pressure of the subject; a storage buffer; and a control circuit operatively coupled to the posture sensing circuit and the storage buffer. The control circuit is configured to initiate storage of the heart rate information and the information related to blood pressure in response to a detected change in posture of the subject.

Abstract: Methods, systems and devices for providing cardiac resynchronization therapy (CRT) to a patient using a leadless cardiac pacemaker (LCP) and an extracardiac device (ED). The LCP is configured to deliver pacing therapy at a pacing interval. Illustratively, the ED may be configured to analyze the cardiac cycle including a portion preceding the pacing therapy delivery for one or several cardiac cycles, and determine whether an interval from the P-wave to the pace therapy in the cardiac cycle(s) is in a desired range. In an example, if the P-wave to pace interval is outside the desired range, the ED communicates to the LCP to adjust the pacing interval.

Abstract: Systems, methods and implantable devices configured to provide cardiac resynchronization therapy and/or bradycardia pacing therapy. A first device located in the heart of the patient is configured to receive a communication from a second device and deliver a pacing therapy in response to or in accordance with the received communication. A second device located elsewhere is configured to determine an atrial event has occurred and communicate to the first device to trigger the pacing therapy. The second device may be configured for sensing the atrial event by the use of vector selection and atrial event windowing, among other enhancements. Exception cases are discussed and handled as well.

Abstract: A system for performing a sleep study includes an implant able medical device (IMD) having a first sensor configured to obtain a first physiological parameter signal; a second sensor configured to obtain a second physiological parameter signal; and at least one processing device. The at least one processing device is configured to: receive the first physiological parameter signal and the second physiological parameter signal; and identify, based on a set of episode data, an occurrence of an episode during a sleep session, the episode corresponding to a sleep disorder, the set of episode data based on at least one of the first physiological parameter signal and the second physiological parameter signal. The at least one processing device is further configured to generate, based on the first physiological parameter signal and the second physiological parameter signal, a study report, the study report comprising an indication of the episode.

Abstract: In some examples, cardiac cycle detection may be used as a more or less default approach to cardiac activity tracking. Additional rate measurement relying on different sources or analyses may require extra power consumption over the cycle detection methods. Therefore, new methods and devices are disclosed that selectively activate a second cardiac rate measurement when needed. In some illustrative methods and devices, decisions are made as to whether and which previously collected data, if any, is to be discarded, replaced, or corrected upon activation of the second cardiac rate measurement.

Abstract: In some examples, cardiac cycle detection may be used as an approach to cardiac activity tracking, with one or more second approaches to cardiac activity tracking also available for use. Additional rate measurement relying on different sources or analyses may require extra power consumption over the cycle detection methods. Therefore, new methods and devices are disclosed that selectively activate a second cardiac rate measurement. In some illustrative methods and devices, decisions are made as to whether and which previously collected data, if any, is to be discarded, replaced, or corrected upon activation of the second cardiac rate measurement. In some illustrative methods and devices, a cardiac cycle detection approach to cardiac activity tracking may be bypassed by a second cardiac rate measurement.

Abstract: Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. Signals from multiple vectors may be combined using weighting factors and/or by conversion to different coordinate systems than the original inputs, which may or may not be normalized to patient anatomy. Signals from multiple sensing vectors may be combined prior to or after several analytical steps or processes including before or after filtering, and before or after cardiac cycle detection. Cardiac cycle detection information may be combined across multiple sensing vectors before or after analysis of individual vectors for noise or overdetection. Cardiac cycle detection information may also be combined across multiple sensing vectors to identify noise and/or overdetection.

Abstract: Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. A preferred sensing configuration may be selected at a given point in time, for example under clinical conditions. Signal quality for the preferred sensing configuration is then monitored, and if the signal quality degrades under selected conditions, re-analysis may be performed to select a different sensing vector configuration for at least temporary use. If signal quality increases for the preferred sensing configuration, temporary use of the different sensing vector configuration may cease and reversion to the preferred sensing configuration takes place if certain conditions are met. The conditions for reversion may depend in part of a history of sensing signal quality for the preferred sensing configuration.

Abstract: New and alternative approaches to the monitoring of cardiac signal quality for external and/or implantable cardiac devices. In one example, signal quality is monitored continuously or in response to a triggering event or condition and, upon identification of a reduction in signal quality, a device may reconfigure its sensing state. In another example, one or more trends of signal quality are monitored by a device, either continuously or in response to a triggering event or condition, and sensing reconfiguration may be performed in response to identified trends and events. In yet another example, a device may use a looping data capture mode to track sensing data in multiple vectors while primarily relying on less than all sensing vectors to make decisions and, in response to a triggering event or condition, the looped data can be analyzed automatically, without waiting for additional data capture to reconfigure sensing upon identification of the triggering event or condition.

Abstract: Methods and devices for combining multiple signals from multiple sensing vectors for use in wearable or implantable cardiac devices. Signals from multiple vectors may be combined using weighting factors and/or by conversion to different coordinate systems than the original inputs, which may or may not be normalized to patient anatomy. Signals from multiple sensing vectors may be combined prior to or after several analytical steps or processes including before or after filtering, and before or after cardiac cycle detection. Cardiac cycle detection information may be combined across multiple sensing vectors before or after analysis of individual vectors for noise or overdetection. Cardiac cycle detection information may also be combined across multiple sensing vectors to identify noise and/or overdetection.

Abstract: An apparatus comprises a control circuit that initiates a normal pacing mode for delivery of electrostimulation energy to the heart chamber. In response to an indication to initiate a threshold test, the control circuit determines an electrode configuration used to deliver the electrostimulation energy in the normal pacing mode, selects a first threshold test mode when a sensing electrode independent from the set of pacing electrodes is unavailable for the heart chamber, wherein a cardiac activity signal is sensed using a set of sensing electrodes that includes an electrode common to the set of pacing electrodes, and selects a second threshold test mode when a sensing electrode independent from the set of pacing electrodes is available for the heart chamber, wherein the cardiac activity signal is sensed using a set of sensing electrodes that excludes an electrode common to the set of pacing electrodes.

Abstract: An apparatus comprises a cardiac signal sensing circuit, a pacing therapy circuit, and a controller circuit. The controller circuit includes a safety margin calculation circuit. The controller circuit initiates delivery of pacing stimulation energy to the heart using a first energy level, changes the energy level by at least one of: a) increasing the energy from the first energy level until detecting that the pacing stimulation energy induces stable capture, or b) reducing the energy from the first energy level until detecting that the stimulation energy fails to induce capture, and continues changing the stimulation energy level until confirming stable capture or the failure of capture. The safety margin calculation circuit calculates a safety margin of pacing stimulation energy using at least one of a determined stability of a parameter associated with evoked response and a determined range of energy levels corresponding to stable capture or intermittent failure of capture.