Deriving patient activity information from sensed body electrical information

Abstract

Electrodes of a subcutaneous monitoring system receive body electrical signals that indicate both cardiac and non-cardiac muscle activity. In general, non-cardiac muscle activity is often correlated with physical activity, and physical activity is typically a strong indicator of patient health. Exemplary systems and methods that detect non-cardiac muscle activity information in sensed body electrical waveforms may provide a diagnostic tool for monitoring physical activity level over time in patients that have subcutaneous monitoring systems. In an illustrative embodiment, systems and methods for presenting patient activity information in a graphical format over intervals of time include processing ECG waveform information to identify and to accumulate non-cardiac muscular activity information during each of the intervals of time. In various implementations, number, intensity, and/or duration of the events that are identified during a time interval may be accumulated and stored for subsequent recall.