Filter-based arrhythmia detection

The present disclosure relates to a medical system and technique for a filter-based arrhythmia detection method. In one example, the medical system includes: one or more sensors configured to sense a physiological parameter; a sensing circuit configured to generate patient data based on the sensed physiological parameter, the patient data comprising signal data representative of cardiac activity of the patient; and a processing circuit configured to: detect an arrhythmia of the patient based on a classification of the signal data according to a machine learning model, where the machine learning model includes a filter for at least a portion of the signal data, wherein the at least one filter corresponds to a set of features mapped to the cardiac activity represented by the portion of the signal data; and generating, for display, output data indicative of a positive detection of the arrhythmia. 本公开涉及一种用于基于滤波器的心律失常检测方法的医疗系统和技术。在一个示例中，该医疗系统包括：一个或多个传感器，该一个或多个传感器被配置为感测生理参数；感测电路，该感测电路被配置为基于所感测的生理参数生成患者数据，该患者数据包括表示该