Deriving patient activity information from sensed body electrical information
View Patent ↗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.
1. A method of presenting physical activity information for an individual by detecting non-cardiac muscle noise in electrocardiogram (ECG) waveform information collected by an implanted medical device, the method comprising the steps of:
a) implanting a medical device within a patient, the medical device comprising at least a first subcutaneous electrode implanted in or adjacent to the patient's heart and a second subcutaneous electrode implanted in or adjacent to non-cardiac muscle or fascia tissue of the chest, abdomen, back or neck regions of the patient;
b) acquiring a composite electrical waveform from the first and second subcutaneous electrodes, the composite electrical waveform comprising cardiac derived electrical signals generated by cardiac activity of the heart and non-cardiac derived electrical signals including both psychological and physiological data generated by non-cardiac muscle or fascia tissue of the patient during each of a plurality of non-overlapping time periods;
c) post-processing at least two of the acquired composite electrical waveforms by performing the following operations:
i) selecting one of the plurality of non-overlapping time periods;
ii) identifying non-cardiac muscle activity events in the acquired composite electrical waveform that occurred during the selected time period;
iii) aggregating the non-cardiac muscle activity events identified in operation ii) to determine a period activity value that represents a level of electrical activity of the patient during the selected time period; and
iv) repeating operations i)-iii) for a second one of the time periods in the plurality of time periods; and
d) displaying to a user a representation of the period activity value for the at least two time periods.
2. The method of claim 1 including transmitting data representing the acquired composite electrical waveform through the skin from the implanted medical device to a receiver module external to the body.
3. The method of claim 1 including providing a receiver module external to the body for receiving transmitted data from the medical device, the receiver module comprising a programming module storing programming information for the medical device.
4. The method of claim 1 including transmitting information about the period activity values through the skin from the implanted medical device to a receiver module external to the body.
5. The method of claim 1 including transmitting the acquired composite electrical waveform from a subcutaneous antenna implanted in the body.
6. The method of claim 1 , wherein operation ii) further comprises high-pass filtering, rectifying, and smoothing of the acquired composite electrical waveform.
7. The method of claim 1 , wherein operation ii) comprises comparing an amplitude of the frequency of the composite electrical waveform acquired during the selected time period to a threshold value.
8. The method of claim 7 , wherein operation ii) further comprises comparing the acquired composite electrical waveform to at least one additional threshold value to identify non-cardiac muscle activity events in the acquired composite electrical waveform that occurred during the selected time period.
9. The method of claim 1 , wherein operation iii) comprises counting the non-cardiac muscle activity events identified in operation ii).
10. The method of claim 1 including providing the period activity value being a function of an amplitude of each of the non-cardiac muscle activity events identified in operation ii).
11. The method of claim 1 including providing the period activity value being a function a duration of each of the non-cardiac muscle activity events identified in operation ii).
12. The method of claim 11 , wherein, for each one of the plurality of time periods, the corresponding histogram represents in a first dimension a first period activity value based on a number of the non-cardiac muscle activity events identified in operation ii), and further represents in a second dimension a second period activity value based on an amplitude of each of the non-cardiac muscle activity events identified in operation ii).
13. The method of claim 11 , wherein, for each one of the plurality of time periods, the corresponding histogram represents in a first dimension a first period activity value based on a number of the non-cardiac muscle activity events identified in operation ii), and further represents in a second dimension a second period activity value based on a duration of each of the non-cardiac muscle activity events identified in operation ii).
14. The method of claim 1 including providing the displayed representation comprising a histogram.
15. The method of claim 1 including providing the composite electrical waveform comprising the non-cardiac electrical signal as relatively high frequency signals superimposed on repeating cardiac electrical signal as relatively low frequency signals.
16. The method of claim 1 including displaying the non-cardiac electrical signals as an episode of relatively higher frequency signals superimposed on repeating cardiac electrical signals.
17. A method of presenting physical activity information for an individual by detecting non-cardiac muscle noise in electrocardiogram (ECG) waveform information collected by an implanted medical device, the method comprising the steps of:
a) implanting a medical device within a patient, the medical device comprising at least a first subcutaneous electrode implanted in or adjacent to the patient's heart and a second subcutaneous electrode implanted in or adjacent to non-cardiac muscle or fascia tissue of the chest, abdomen, back or neck regions of the patient;
b) acquiring electrical waveforms from the first and second subcutaneous electrodes, the electrical waveforms comprising electrical activity signals generated by cardiac activity of the heart and non-cardiac electrical activity signals including both psychological and physiological data generated by the muscle or fascia tissue of the patient during each of a plurality of non-overlapping time periods;
c) post-processing at least two of the acquired electrical waveforms of the cardiac electrical activity signals and of the non-cardiac electrical activity signals by performing the following operations:
i) selecting one of the plurality of non-overlapping time periods;
ii) identifying non-cardiac muscle activity events in the acquired electrical waveforms that occurred during the selected time period;
iii) aggregating the non-cardiac muscle activity events identified in operation ii) to determine a period activity value that represents a level of electrical activity of the patient during the selected time period; and
iv) repeating operations i)-iii) for a second one of the time periods in the plurality of time periods; and
d) displaying to a user a representation of the period activity value for the at least two time periods.