Abstract: An apparatus includes a sensing circuit configured to generate a sensed physiological signal representative of cardiac activity of a subject, an arrhythmia detection circuit, a control circuit, and a memory. The arrhythmia detection circuit detects an episode of atrial fibrillation (AF) in the sensed cardiac signal using a first AF detection criterion, and detects the episode of AF using a second AF detection criterion. The first AF detection criterion has greater sensitivity to AF detection than the second AF detection criterion, and the second AF detection criterion has greater specificity to AF detection than the first AF detection criterion. The control circuit initiates storing of sampled values of a segment of the cardiac signal that includes the episode of AF when the episode of AF is detected by both the first AF detection criterion and the second AF detection criterion.

Abstract: Automated pre-implant screening for candidate recipients of implantable medical devices. A set of cutaneous electrodes placed on a patient transcutaneously capture a cardiac signal using a screening device coupled to the electrodes. A first beat rate may be determined by identifying individual R-waves, QRS complexes or cardiac cycles from the captured cardiac signal using the cutaneous electrodes. A second beat rate may be calculated using one of several different methods, for example, by optical measurement, by monitoring heart sounds, by a second electric cardiac signal analysis, or by using an implanted device. The rates are compared to one another and, if a match is identified, the patient is deemed well suited to receive a particular device.

Abstract: An apparatus includes a sensing circuit configured to generate a sensed physiological signal representative of cardiac activity of a subject, and an arrhythmia detection circuit. The arrhythmia detection circuit is configured to monitor information corresponding to ventricular depolarization (V-V) intervals using the sensed physiological signal; determine a V-V interval distribution; determine a heart rate density index (HRDI) as a portion of samples of the V-V interval distribution corresponding to a V-V interval occurring most often in the distribution; and generate an indication of atrial fibrillation (AF) using the HRDI.

Abstract: The technology disclosed herein relates to a method for lead analysis for an implanted medical device. A summary data record is retrieved associated with one or more episodes from an implanted medical device through a communication module. Episode selection criteria are applied to the summary data record by a processing module. One or more episode data records are retrieved from the implanted medical device for one or more episodes for which the episode selection criteria was satisfied. Noise detection criteria are applied to the episode data record. A notification module is configured to generate an alert if the noise detection criteria are satisfied.

Abstract: Monitoring physiological parameter using an implantable physiological monitor in order to detect a condition predictive of a possible future pathological episode and collecting additional physiological data associated with the condition predictive of a possible future pathological episode. Monitoring another physiological parameter in order to detect a condition indicative of the beginning of a present pathological episode and collecting additional pathological data in response to the condition. Determining that the condition predictive of a future episode and the condition indicative of a present episode are associated and, in response thereto, storing all the collected physiological data.

Abstract: Systems and methods for detecting a target physiologic event and storing physiologic information associated with the detected physiologic event are disclosed. A system can receive a physiologic signal obtained from a subject, and detect the target physiologic event using a first portion of the received physiologic signal. The system can confirm the target physiologic event using a second portion of the received physiologic signal. If the target physiologic event is confirmed, the system can store physiologic information associated with the confirmed target physiologic event in a memory.

Abstract: An arrhythmia classification system receives cardiac data from an implantable medical device, performs automatic adjudication of each cardiac arrhythmia episode indicated by the cardiac data, and generates episode data representative of information associated with the episode. The episode data include at least an episode classification resulting from the automatic adjudication of the episode and a confidence level in the episode classification. In one embodiment, the episode data further include key features rationalizing the automatic adjudication of the episode.

Abstract: Monitoring physiological parameter using an implantable physiological monitor in order to detect a condition predictive of a possible future pathological episode and collecting additional physiological data associated with the condition predictive of a possible future pathological episode. Monitoring another physiological parameter in order to detect a condition indicative of the beginning of a present pathological episode and collecting additional pathological data in response to the condition. Determining that the condition predictive of a future episode and the condition indicative of a present episode are associated and, in response thereto, storing all the collected physiological data.

Abstract: An arrhythmia classification system receives cardiac data from an implantable medical device, performs automatic adjudication of each cardiac arrhythmia episode indicated by the cardiac data, and generates episode data representative of information associated with the episode. The episode data include at least an episode classification resulting from the automatic adjudication of the episode and a confidence level in the episode classification. In one embodiment, the episode data further include key features rationalizing the automatic adjudication of the episode.

Abstract: Atrial fibrillation information can be determined from ventricular information or a ventricular location, such as using ventricular rate variability. An ambulatory medical device can receive indications of pairs of first and second ventricular rate changes of three temporally adjacent ventricular heart beats. A first count of instances of the pairs meeting a combined rate change magnitude characteristic and a second count of instances of the pairs in which both of the first and second ventricular rate changes are negative can be used to provide atrial fibrillation information.

Abstract: Implanted medical device data is received, where the data was sensed by a first lead portion and a sensor over a time period. The number of detected noise events sensed by the first lead portion is counted based on applying first noise detection criteria to the data sensed by the first lead portion. The number of detected noise events over the sensor is counted based on applying second noise detection criteria to the data sensed by the sensor. The mean number of detected noise events is calculated for the first lead portion and sensor based on the number of noise events sensed by the first lead portion and the number of noise events sensed by the sensor. Potential lead failure in the first lead is recorded if the number of detected noise events over the first lead is greater than the mean number of noise events by at least 5%.

Abstract: Various techniques are disclosed for quickly and efficiently determining cardiac pacing vectors that minimize phrenic nerve stimulation.

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: A system and method for performing off-line analysis of cardiac electrogram data, comprising: retrieving an electrogram from a memory location; identifying a first-channel group of candidate beats from at least a first channel of the electrogram; and identifying a second-channel group of candidate beats from at least a second channel of an electrogram. For each first-channel beat candidate near a second-channel beat candidate, the amplitude of the first-channel beat candidate is compared with the amplitude of a previous beat and the amplitude of a next beat on the first electrogram channel, and first-channel beat candidates that are outside of a first pre-determined range from either the previous or next beat are removed. Then first-channel beat candidates that are outside of a second pre-determined range from either the previous or next beat candidate are removed.

Abstract: Methods and device for determining a pacing vector for delivering an electrostimulation therapy are described. An implantable medical device may be configured to determine an anode capture threshold and a cathode capture threshold for a first anode and cathode pair of electrodes, switch a polarity of the first anode and cathode pair of electrodes, and determine an anode capture threshold and a cathode capture threshold for the first anode and cathode pair of electrodes having the switched polarity. The implantable medical device may be further configured to compare a cathodal capture threshold for the anode and cathode pair having the switched polarity to the anodal capture threshold of the first anode and cathode pair of electrodes and select either an anode or a cathode for delivering an electrostimulation therapy based at least in part on the comparison. Other methods and systems are also contemplated and described.

Abstract: Various techniques are disclosed for quickly and efficiently determining cardiac pacing vectors that minimize phrenic nerve stimulation.

Abstract: A system and method for performing independent, off-line evaluation of event sensing for collected electrograms, comprising: sensing an electrogram using an implantable medical device (IMD); determining locations of heart beats on at least one channel of the electrogram using a multi-pass process, resulting in a group of multi-pass beat locations; storing the electrogram and device-identified beat locations in a memory location; and retrieving the electrogram and device-identified beat locations from the memory location. The multi-pass process determines locations of heart beats on at least a first channel of the electrogram. The device-identified group of beat locations are then compared to the multi-pass group of beat locations identified using the multi-pass method. Based on the comparing step, oversensing of beats, undersensing of beats, or noise from the device can be detected.

Abstract: In an example, a medical device includes a physiological data monitor (PDM), a memory, and a processor. The PDM is configured to monitor a physiological data parameter. The memory circuit is configured to store data collected by the PDM. The processor is configured to detect a data capture event and capture a first segment of physiological data associated with the data capture event. The processor is also configured to determine an amount of memory storage space available and determine a first priority level for the first segment of physiological data. The processor is further configured to determine a second priority level for a second segment of physiological data stored previously and select a processing scheme using the first and second priority levels. Finally, the processor is configured to process, using the processing scheme, the first and second segments of physiological data and store the first segment of physiological data.

Abstract: An apparatus comprises an implantable cardiac signal sensing circuit and a controller circuit. The implantable cardiac signal sensing circuit provides a sensed depolarization signal from a ventricle and a sensed depolarization signal from an atrium. The controller circuit includes a one-to-one detector circuit and a tachyarrhythmia discrimination circuit. The one-to-one detector circuit measures cardiac depolarization intervals of the atrium and the ventricle and determines whether a relationship of atrial depolarizations to ventricular depolarizations is substantially one-to-one. The tachyarrhythmia discrimination circuit classifies the episode as VT when detecting a shortening or prolonging of a V-V interval that immediately precedes the same shortening or prolonging of an A-A interval.

Abstract: The technology disclosed herein relates to a method for lead analysis for an implanted medical device. A summary data record is retrieved associated with one or more episodes from an implanted medical device through a communication module. Episode selection criteria are applied to the summary data record by a processing module. One or more episode data records are retrieved from the implanted medical device for one or more episodes for which the episode selection criteria was satisfied. Noise detection criteria are applied to the episode data record.