Abstract:
This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes processing circuitry configured to determine a plurality of pulse transit time (PTT) intervals, determine, based on an accelerometer signal, a posture of a patient from a plurality of postures corresponding to each PTT interval of the plurality of PTT intervals, classify each PTT interval of the plurality of PTT intervals based on the respective posture of the patient corresponding to the respective PTT interval, and monitor, based on the classified plurality of PTT intervals, a patient condition.
Abstract:
This disclosure is directed to systems and techniques for detecting changes in patient health based upon monitoring patient sleep activities. One example medical system comprises one or more sensors configured to sense patient activity; sensing circuitry configured to provide patient activity data based on the sensed patient activity; and processing circuitry configured to: determine, from the patient activity data, for each of a plurality of intervals, a respective activity classification, wherein each activity classification indicates whether the patient activity data during the interval satisfies at least one predetermined criterion indicative of patient movement; for each of a plurality of timeslots, determine a number of intervals that satisfy the at least one predetermined criterion, each timeslot including a consecutive subset of the plurality of intervals; and identify transitions between an inactive state and an active state of the patient based on the determined numbers of intervals within the plurality of timeslots.
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:
An implantable medical device is configured to detect saturation events from a cardiac electrical signal, detect a tachyarrhythmia based at least in part on the cardiac electrical signal, responsive to detecting the tachyarrhythmia, and compare the detected saturation events to lead issue criteria. If the detected saturation events satisfy lead issue criteria, a therapy for treating the tachyarrhythmia is withheld by the implantable medical device.
Abstract:
A method and device for updating a frequency of determining whether a lead condition is occurring in a medical device that includes sensing a cardiac signal, determining whether a lead condition is occurring in response to the sensed cardiac signal, determining whether a first patient characteristic is satisfied during a plurality of predetermined update periods, performing a first update of a virtual lead days value associated with a number of days since implant of the lead in response to the first patient characteristic being satisfied, determining whether a patient characteristic update is satisfied in response to a second patient characteristic, different than the first patient characteristic, being satisfied, performing a second update of the virtual lead days value in response to the patient characteristic update being satisfied, and updating a frequency of determining whether the lead condition is occurring in response to the updated virtual lead days value.
Abstract:
This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes processing circuitry configured to determine a plurality of pulse transit time (PTT) intervals, determine, based on an accelerometer signal, a posture of a patient from a plurality of postures corresponding to each PTT interval of the plurality of PTT intervals, classify each PTT interval of the plurality of PTT intervals based on the respective posture of the patient corresponding to the respective PTT interval, and monitor, based on the classified plurality of PTT intervals, a patient condition.
Abstract:
A system includes an implantable medical device that includes an accelerometer sensing circuitry. Responsive to one or more of a first signal from the accelerometer satisfying a first threshold or a first heart rate determined from a first set of cardiac activity data satisfying a first heart rate threshold, processing circuitry of the system determines a first posture state based on the first signal. Responsive to one or more of a second signal satisfying a second threshold or a second heart rate determined from a second set of cardiac activity data satisfying a second heart rate threshold, the processing circuitry determines a second posture state based on the second signal. The processing circuitry determines a heart failure risk based on the first posture state and the second posture state and generates output based at least in part on the heart failure risk.
Abstract:
An example medical device system and method 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 determine a first plurality of pulse transit times (PTTs), determine, based on the at least one accelerometer signal, a Sit-to-Stand transition, determine, based on the Sit-to-Stand transition occurring, a second plurality of PTTs after the Sit-to-Stand transition, and determine a likelihood that a person, such as a patient, may fall based on the first plurality of PTTs and the second plurality of PTTs.
Abstract:
This disclosure is directed to techniques for recording and recognizing physiological parameter patterns associated with symptoms. A medical device system includes a medical device including an accelerometer configured to collect an accelerometer signal that indicates one or more patient movements that occur during a cough. Additionally, the medical device system includes processing circuitry configured to: determine whether the accelerometer signal satisfies a set of criteria corresponding to a cough pattern comprising a smooth increase from a baseline, then a sharp decrease, a peak within the sharp decrease, then a gradual return to the baseline; and identify a cough based on the determination that the accelerometer signal satisfies the set of criteria.
Abstract:
This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes processing circuitry configured to determine a plurality of pulse transit time (PTT) intervals, determine, based on an accelerometer signal, a posture of a patient from a plurality of postures corresponding to each PTT interval of the plurality of PTT intervals, classify each PTT interval of the plurality of PTT intervals based on the respective posture of the patient corresponding to the respective PTT interval, and monitor, based on the classified plurality of PTT intervals, a patient condition.