Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: A medical device is configured to sense a cardiac electrical signal and detect an atrial tachyarrhythmia based on the sensed cardiac electrical signal. The medical device is configured to determine that far field oversensing criteria are met by the cardiac electrical signal during the detected atrial tachyarrhythmia. The medical device may detect termination of the detected atrial tachyarrhythmia in response to the far field oversensing criteria being met.

Abstract: A medical device system includes a cardiac electrical stimulation device and a ventricular assist device (VAD). The cardiac stimulation device and the VAD are capable of communication with each other to confirm detection of cardiac events.

Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: Techniques are disclosed for a multi-tier system for predicting cardiac arrhythmia in a patient. In one example, a computing device processes parametric patient data and provider data for a patient to generate a long-term probability that a cardiac arrhythmia will occur in the patient within a first time period. In response to determining that the cardiac arrhythmia is likely to occur within the first time period, the computing device causes a medical device to process the parametric patient data to generate a short-term probability that the cardiac arrhythmia will occur in the patient within a second time period. In response to determining that the cardiac arrhythmia is likely to occur within the second time period, the medical device performs a remediative action to reduce the likelihood that the cardiac arrhythmia will occur.

Abstract: Techniques are disclosed for a multi-tier system for predicting cardiac arrhythmia in a patient. In one example, a computing device processes parametric patient data and provider data for a patient to generate a long-term probability that a cardiac arrhythmia will occur in the patient within a first time period. In response to determining that the cardiac arrhythmia is likely to occur within the first time period, the computing device causes a medical device to process the parametric patient data to generate a short-term probability that the cardiac arrhythmia will occur in the patient within a second time period. In response to determining that the cardiac arrhythmia is likely to occur within the second time period, the medical device performs a remediative action to reduce the likelihood that the cardiac arrhythmia will occur.

Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: A medical device is configured to sense a cardiac electrical signal and detect an atrial tachyarrhythmia based on the sensed cardiac electrical signal. The medical device is configured to determine that far field oversensing criteria are met by the cardiac electrical signal during the detected atrial tachyarrhythmia. The medical device may detect termination of the detected atrial tachyarrhythmia in response to the far field oversensing criteria being met.

Abstract: A wearable garment and an arrangement of electrodes configured to measure bioelectrical signals from a patient. The dry electrodes are free from adhesives to hold the electrodes in place on the patient's skin. The arrangement of the electrodes may be configured to limit noise and facilitate accurate signal sensing from the patient even with some amount of relative movement between the electrodes and the patient's skin. The wearable garment may be controllable to change the amount of compression based on the sensed signals from the electrodes, and from other sensors. The garment may maintain a comfortable level of compression until processing circuitry detects a signal of interest, such as a cardiac arrhythmia, irregular respiration, or some other signal. The processing circuitry may cause the wearable garment to increase compression to improve the contact between the electrodes and the patient's skin and improve reception of the measured signals.

Abstract: A medical device system includes a cardiac electrical stimulation device and a ventricular assist device (VAD). The cardiac stimulation device and the VAD are capable of communication with each other to confirm detection of cardiac events.

Abstract: A medical device system includes a cardiac electrical stimulation device and a ventricular assist device (VAD). The cardiac stimulation device and the VAD are capable of communication with each other to confirm detection of cardiac events.

Abstract: A system for detecting an atrial tachyarrhythmia episode includes a medical device having sensing circuitry configured to receive a cardiac electrical signal from electrodes coupled to the medical device and a processor configured to detect an atrial tachyarrhythmia episode in response to a time duration of the cardiac electrical signal classified as an atrial tachyarrhythmia being greater than or equal to a first detection threshold. The processor is configured to determine if detection threshold adjustment criteria are met based on at least the detected first atrial tachyarrhythmia episode and adjust the first detection threshold to a second detection threshold different than the first detection threshold in response to the detection threshold adjustment criteria being met.

Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: Techniques are disclosed for a multi-tier system for predicting cardiac arrhythmia in a patient. In one example, a computing device processes parametric patient data and provider data for a patient to generate a long-term probability that a cardiac arrhythmia will occur in the patient within a first time period. In response to determining that the cardiac arrhythmia is likely to occur within the first time period, the computing device causes a medical device to process the parametric patient data to generate a short-term probability that the cardiac arrhythmia will occur in the patient within a second time period. In response to determining that the cardiac arrhythmia is likely to occur within the second time period, the medical device performs a remediative action to reduce the likelihood that the cardiac arrhythmia will occur.

Abstract: A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.

Abstract: A system for detecting an atrial tachyarrhythmia episode includes a medical device having sensing circuitry configured to receive a cardiac electrical signal from electrodes coupled to the medical device and a processor configured to detect an atrial tachyarrhythmia episode in response to a time duration of the cardiac electrical signal classified as an atrial tachyarrhythmia being greater than or equal to a first detection threshold. The processor is configured to determine if detection threshold adjustment criteria are met based on at least the detected first atrial tachyarrhythmia episode and adjust the first detection threshold to a second detection threshold different than the first detection threshold in response to the detection threshold adjustment criteria being met.

Abstract: A medical device system includes a cardiac electrical stimulation device and a ventricular assist device (VAD). The cardiac stimulation device and the VAD are capable of communication with each other to confirm detection of cardiac events.

Abstract: A system for detecting an atrial tachyarrhythmia episode includes a medical device having sensing circuitry configured to receive a cardiac electrical signal from electrodes coupled to the medical device and a processor configured to detect an atrial tachyarrhythmia episode in response to a time duration of the cardiac electrical signal classified as an atrial tachyarrhythmia being greater than or equal to a first detection threshold. The processor is configured to determine if detection threshold adjustment criteria are met based on at least the detected first atrial tachyarrhythmia episode and adjust the first detection threshold to a second detection threshold different than the first detection threshold in response to the detection threshold adjustment criteria being met.