Abstract: Patient activity or inactivity may be determined based, at least in part, on a movement signal representative, or indicative, of movement of a patient. When the patient is determined to be inactive based the movement signal monitored over a moving time window, cardiac remodeling pacing may be delivered to the patient.

Abstract: An example system includes an implantable medical device configured to obtain measurement values of one or more patient metrics; and processing circuitry configured to: determine a baseline value for each of the respective one or more patient metrics based on measurement values of the one or more patient metrics over a first period of time; determine a short-term value for each of the one or more patient metrics based on measurement values of the one or more patient metrics over a second period of time, determine a difference between each of the short-term values and the respective baseline value for each of the one or more patient metrics; determine that a risk of an adverse event occurring in the patient is high in response to the determined difference meeting a respective adverse event risk threshold; and generate for output an adverse event high risk alert.

Abstract: This disclosure is directed to a medical system and technique for a filter-based approach to arrhythmia detection. In one example, the medical system comprises one or more sensors configured to sense physiological parameter(s); sensing circuitry configured to generate patient data based on the sensed physiological parameter(s), the patient data comprising signal data to represent cardiac activity of the patient; and processing circuitry configured to: detect a cardiac arrhythmia for the patient based on a classification of the signal data in accordance with a machine learning model, wherein the machine learning model comprises filter(s) for at least one portion of the signal data, wherein the at least one filter corresponds to a feature set that maps to the cardiac activity represented by the portion(s) of the signal data; and generate for display output data indicative of a positive detection of the cardiac arrhythmia.

Abstract: A system comprises an implantable medical device configured to generate temperature data and impedance data associated with temperature and impedance of a patient proximate to the implantable medical device. The system further comprises processing circuitry configured to determine whether a first one or more infection criteria are satisfied by temperature data and impedance data generated by the implantable medical device during a first time interval, wherein the first one or more infection criteria include at least one criterion indicative of decreased impedance, determine whether a second one or more infection criteria are satisfied by the temperature data and impedance data generated by the implantable medical device during a second time interval subsequent to the first time interval, wherein the second one or more infection criteria include at least one criterion indicative of increased impedance, and output, based on satisfaction of the first and second infection criteria, an indication of infection.

Abstract: A method of determining an adverse event within a patient having an implantable blood pump including calculating a plurality of power consumption trends of the blood pump during a plurality of time periods using a low-pass filter, determining a plurality of power trend differences between the plurality of power consumption trends, calculating a total amount of the plurality of power trend differences during a time interval, and generating an alarm when the total amount of the plurality of power trend differences exceeds a pre-determined threshold.

Abstract: A method of determining an adverse event within a patient having an implantable blood pump including calculating a plurality of power consumption trends of the blood pump during a plurality of time periods using a low-pass filter, determining a plurality of power trend differences between the plurality of power consumption trends, calculating a total amount of the plurality of power trend differences during a time interval, and generating an alarm when the total amount of the plurality of power trend differences exceeds a pre-determined threshold.

Abstract: A method of determining an adverse event within a patient having an implantable blood pump including calculating a plurality of power consumption trends of the blood pump during a plurality of time periods using a low-pass filter, determining a plurality of power trend differences between the plurality of power consumption trends, calculating a total amount of the plurality of power trend differences during a time interval, and generating an alarm when the total amount of the plurality of power trend differences exceeds a pre-determined threshold.