SYSTEM AND METHOD FOR MONITORING ENERGY USAGE TO ANALYZE PATIENT HEALTH

1 . A system for monitoring the health of a patient in a residential environment, the system comprising:

an energy monitoring module in communication with an electrical panel providing power to a plurality of electrical devices in the residential environment, the energy monitoring module operable to monitor energy consumed by the plurality of electrical devices;

a data energy analysis engine that collects energy data from the energy monitoring module over a period of time; and

a health data correlation engine that determines a health condition of the patient based on the collected energy data.

2 . The system of claim 1 , wherein the health condition includes one of a change in sleep quality or duration of the patient a change in diet or appetite of the patient a change in physical activity or mobility of the patient or a respiratory condition.

3 . (canceled)

4 . (canceled)

5 . The system of claim 1 , wherein the plurality of devices includes a therapeutic device for treatment of the patient.

6 . (canceled)

7 . The system of claim 1 , wherein the energy data includes a pattern based on electrical usage.

8 . The system of claim 1 , wherein the energy data includes the times when each of the plurality of devices is turned on.

9 . The system of claim 8 , wherein the energy data includes determination of a specific device signature for each of the plurality of devices.

10 . The system of claim 9 , wherein the specific device signature is determined from machine learning.

11 . The system of claim 9 , wherein the specific device signature is determined from a rule set of device signatures.

12 . The system of claim 9 , wherein the correlation between the health condition and the specific device signature is determined from machine learning.

13 . The system of claim 1 , wherein the energy data includes the total electrical usage of the plurality of devices over a period of time.

14 . A method for monitoring health of a patient in a residential environment, the method comprising:

collecting energy use data of at least one device in the residential environment;

determining an energy use pattern from the energy use data; and

correlating the energy use pattern with a health condition of the patient.

15 . The method of claim 14 , wherein the health condition includes one of a change in sleep quality or duration of the patient a change in diet or appetite of the patient a change in physical activity or mobility of the patient or a respiratory condition.

16 . (canceled)

17 . (canceled)

18 . The method of claim 14 , wherein the device is a therapeutic device for treatment of the patient.

19 . (canceled)

20 . The method of claim 14 , wherein the energy use pattern is a pattern based on electrical usage.

21 . The method of claim 14 , wherein the energy use pattern includes the times when each of the plurality of devices is turned on.

22 . The method of claim 21 , wherein the energy data includes determination of a specific device signature for each of the plurality of devices.

23 . The method of claim 22 , further comprising determining the specific device signature from machine learning.

24 . The method of claim 22 , further comprising determining the specific device signature from a rule set of device signatures.

25 . The method of claim 22 , further comprising determining the correlation between the health condition and specific device signature from machine learning.

26 . The method of claim 14 , wherein the energy use pattern includes the total electrical usage of the device over a period of time.