Abstract: A user equipment that includes a touchscreen, and at least one processor configured to generate first timestamp data based upon detection of a first touch event on the touchscreen, and second timestamp data based upon detection of a second touch event on the touchscreen, for calculation by a medical device system of a patient-specific functional status parameter associated with a Sit-To-Stand performance test over a time segment inclusively bounded by a first time defined by the first timestamp data and a second time defined by the second timestamp data.

Abstract: A medical device system and method that includes accelerometer circuitry configured to generate at least one signal, a memory, and processing circuitry coupled to the accelerometer circuitry and the memory. The processing circuitry is configured to monitor a patient for a Sit-To-Stand transition based upon the at least one signal, detect the Sit-to-Stand transition, determine if the patient has been inactive for a predetermined period of time prior to the Sit-to-Stand transition, and if the patient has been inactive for at least the predetermined period of time prior to the Sit-to-Stand transition, determine a body stability score of the patient.

Abstract: A medical device system and method for detecting dislodgement of a lead determines one or more characteristics of a cardiac signal received via the lead that are associated with dislodgement of the lead during atrial fibrillation, and detects dislodgement of the ventricular lead based on the determined characteristics. The medical device and system provides a lead dislodgment alert in response to detecting dislodgement. In some examples, an implantable medical device withholds delivery of a defibrillation therapy based on detecting dislodgement of the lead.

Abstract: Detecting dislodgement of a ventricular lead coupled to an implantable medical device comprises sensing a near-field cardiac EGM via a first electrode of the ventricular lead and a far-field cardiac EGM via a second electrode of the ventricular lead, identifying, R-waves in the near-field cardiac EGM and the far-field cardiac EGM. determining a near-field value of one or more R-wave amplitude metrics based on amplitudes of R-waves identified in the near-field cardiac EGM and a far-field value of the one or more R-wave amplitude metrics based on amplitudes of R-waves identified in the far-field cardiac EGM, detecting dislodgement of the ventricular lead based on at least one of the near-field value or the far-field value of the one or more R-wave amplitude metrics; and providing a lead dislodgment alert in response to detecting the dislodgement of the ventricular lead.

Abstract: Examples described herein include a medical device system comprising an accelerometer circuitry configured to output a signal indicative of variations in accelerations along a single axis of movement of patient; and processing circuitry configured to receive the output signal from the accelerometer, and to rectify the output signal to generate a rectified signal, wherein rectification of the output signal comprises generating a rectified value for each of a plurality of moving windows imposed over the output signal, wherein generating the rectification value for each of the plurality of moving windows comprises determining a current value of the output signal for the window, determining a maximum value for a portion of the output signal enclosed by the window, and subtracting the current value from the maximum value; and analyze the rectified signal to detect the occurrence of a step taken by a patient based on the rectified signal.

Abstract: An implantable medical device capable of sensing cardiac signals and delivering cardiac electrical stimulation therapies is enabled to detect a short circuit event. A signal is sensed by a sensing module coupled to electrodes. A controller detects a short circuit event in response to a slope of the sensed signal exceeding a short circuit threshold.

Abstract: In some examples, processing circuitry of a medical device system determines, for each of a plurality of periods, a plurality of heart rates of a patient based on a cardiac electrogram signal, and identifies a first subset of the plurality of heart rates as nighttime heart rates and a second subset of the plurality of heart rates as resting heart rates. The processing circuitry determines a representative nighttime heart rate based on the first subset of the plurality of heart rates, determines a representative resting heart rate based on the second subset of the plurality of heart rates, and determines a nocturnal dip base on the representative nighttime heart rate and the representative resting heart rate.

Abstract: An implantable medical device capable of sensing cardiac signals and delivering cardiac electrical stimulation therapies is enabled to detect a short circuit event. A signal is sensed by a sensing module coupled to electrodes. A controller detects a short circuit event in response to a slope of the sensed signal exceeding a short circuit threshold.

Abstract: An implantable medical device having a sensing module and a control module is configured to receive a cardiac electrical signal and sense events from the cardiac electrical signal received via electrodes carried by a medical electrical lead when the medical electrical lead is coupled to the implantable medical device. The control module coupled is configured to detect non-sustained tachyarrhythmia (NST) episodes based on sensed event intervals and determine if the sensed event intervals during the detected NST episode satisfy oversensing criteria. If the oversensing criteria are satisfied, the control module determines whether the detected NST episode satisfies non-lead related oversensing criteria and withholds a lead integrity alert when the NST episode meeting the oversensing criteria is determined to satisfy non-lead related oversensing criteria.

Abstract: A medical device system and method for detecting dislodgement of a lead determines one or more characteristics of a cardiac signal received via the lead that are associated with dislodgement of the lead during atrial fibrillation, and detects dislodgement of the ventricular lead based on the determined characteristics. The medical device and system provides a lead dislodgment alert in response to detecting dislodgement. In some examples, an implantable medical device withholds delivery of a defibrillation therapy based on detecting dislodgement of the lead.

Abstract: An implantable medical device includes a sensing module configured to receive a cardiac electrical signal via electrodes carried by a medical electrical lead coupled to the implantable medical device and a control module configured to detect a lead issue. The sensing module is configured to produce cardiac sensed event signals and spike detect signals. The control module is configured to determine event intervals defined by consecutive ones of the received cardiac sensed event signals and the received spike detect signals and identify one or more received spike detect signals as lead issue spikes based on at least one of the determined event intervals.

Abstract: A medical device system and method for detecting dislodgement of a ventricular lead determines one or more characteristics of a cardiac signal received via the ventricular lead that are associated with dislodgement of the ventricular lead during atrial fibrillation, and detects dislodgement of the ventricular lead based on the determined characteristics. The medical device and system provides a lead dislodgment alert in response to detecting dislodgement. In some examples, an implantable medical device withholds delivery of a ventricular defibrillation therapy based on detecting dislodgement of the ventricular lead.

Abstract: A method includes sensing a cardiac electrogram (EGM) signal of a patient via one or more electrodes on at least one implantable medical lead. An asystolic EGM signal is detected from the patient, and a lead integrity test of the at least one implantable medical lead is initiated in response to the asystolic EGM signal.

Abstract: Detecting dislodgement of a ventricular lead coupled to an implantable medical device comprises sensing a near-field cardiac EGM via a first electrode of the ventricular lead and a far-field cardiac EGM via a second electrode of the ventricular lead, identifying, R-waves in the near-field cardiac EGM and the far-field cardiac EGM. determining a near-field value of one or more R-wave amplitude metrics based on amplitudes of R-waves identified in the near-field cardiac EGM and a far-field value of the one or more R-wave amplitude metrics based on amplitudes of R-waves identified in the far-field cardiac EGM, detecting dislodgement of the ventricular lead based on at least one of the near-field value or the far-field value of the one or more R-wave amplitude metrics; and providing a lead dislodgment alert in response to detecting the dislodgement of the ventricular lead.

Abstract: A technique for identifying lead-related conditions, such as insulation breaches and/or externalization of lead conductors, includes analyzing characteristics of electrical signals generated on one or more electrode sensing vectors of the lead by a test signal to determine whether a lead-related condition exists. The characteristics of the electrical signals induced on the lead by the test signal may be significantly different on a lead having an insulation breach or externalized conductor than on a lead not having such lead-related conditions. As such, the implantable medical device may be subject to a known test signal and analyze the signals on the lead to detect lead-related conditions.

Abstract: An implantable medical device capable of sensing cardiac signals and delivering cardiac electrical stimulation therapies is enabled to detect a short circuit of a medical electrical lead. A physiological signal correlated to a motion of a patient is sensed via a physiological sensor. If a lead monitoring condition is met based on the physiological signal, a cardiac signal is acquired and analyzed to detect an abnormality. The short circuit of the medical electrical lead is detected in response to detecting the abnormality.

Abstract: In some examples, processing circuitry of a medical device system determines, for each of a plurality of periods, a plurality of heart rates of a patient based on a cardiac electrogram signal, and identifies a first subset of the plurality of heart rates as nighttime heart rates and a second subset of the plurality of heart rates as resting heart rates. The processing circuitry determines a representative nighttime heart rate based on the first subset of the plurality of heart rates, determines a representative resting heart rate based on the second subset of the plurality of heart rates, and determines a nocturnal dip base on the representative nighttime heart rate and the representative resting heart rate.

Abstract: Examples described herein include a medical device system comprising an accelerometer circuitry configured to output a signal indicative of variations in accelerations along a single axis of movement of patient; and processing circuitry configured to receive the output signal from the accelerometer, and to rectify the output signal to generate a rectified signal, wherein rectification of the output signal comprises generating a rectified value for each of a plurality of moving windows imposed over the output signal, wherein generating the rectification value for each of the plurality of moving windows comprises determining a current value of the output signal for the window, determining a maximum value for a portion of the output signal enclosed by the window, and subtracting the current value from the maximum value; and analyze the rectified signal to detect the occurrence of a step taken by a patient based on the rectified signal.

Abstract: A medical device system that includes accelerometer circuitry configured to generate signals including a sagittal axis signal, a vertical axis signal and a transverse axis signal, and processing circuitry configured to calculate a patient-specific functional status parameter associated with a Sit-To-Stand test from at least one of the sagittal axis signal, the vertical axis signal and the transverse axis signal.

Abstract: A user equipment that includes a touchscreen, and at least one processor configured to generate first timestamp data based upon detection of a first touch event on the touchscreen, and second timestamp data based upon detection of a second touch event on the touchscreen, for calculation by a medical device system of a patient-specific functional status parameter associated with a Sit-To-Stand performance test over a time segment inclusively bounded by a first time defined by the first timestamp data and a second time defined by the second timestamp data.