Abstract: In general, the disclosure describes techniques for predicting the occurrence of an arrhythmia based on an indication of heart rate turbulence. An example method comprises sensing a parameter indicative of heart rate turbulence, measuring heart rate turbulence based on the sensed parameter, and predicting an occurrence of an arrhythmia based on the measured heart rate turbulence.

Abstract: Systems, methods and devices for monitoring, analyzing, and processing a patient's heart rate signal for HRV characteristics are described herein. A first heart rate signal is acquired. The first heart rate signal includes at least one indication of an interval duration of cardiac activity. At least one accelerating portion and at least one decelerating portion of the first heart rate signal are identified. An average heart rate signal is acquired. The accelerating portion or the decelerating portion of the first heart rate signal is replaced with the average heart rate signal to produce a second heart rate signal. A frequency spectrum of the second heart rate signal may be obtained and utilized to predict or detect one or more autonomic conditions of a patient. Therapy may initiated or titrated in response to prediction or detection of the autonomic condition.

Abstract: This disclosure describes techniques for generating a risk stratification indicator based on HRT measurements computed using physiological parameters sensed by an implantable medical device (IMD). In some examples, the HRT measurements may be computed by the IMD based on the physiological parameters. In other examples, the IMD may sense the physiological parameters, and transmit data representative of the parameters to an external computing device, such as an IMD programmer, which then computes the HRT measurements. Exemplary physiological parameters include cardiac signals.