Wearable monitor
The present disclosure relates to a wearable monitor device and methods and systems for using such a device. In certain embodiments, the wearable monitor records cardiac data from a mammal and extracts particular features of interest. These features are then transmitted and used to provide health-related information about the mammal.
1. A method of monitoring the physiological data of a patient using a wearable monitor, comprising:
providing a wearable monitor configured to contact the skin of the patient, the wearable monitor comprising a hardware processer within an assembly, the assembly configured to detect a cardiac signal;
within the hardware processor, continuously collecting the cardiac signal from the patient, the hardware processor configured to use a machine-learned model to extract a machine-learned output from the cardiac signal or a derived signal therefrom, the machine-learned output comprising less data than the cardiac signal; and
wherein the wearable monitor is configured to wirelessly transmit the machine-learned output to a computing system, the computing system configured to analyze the machine-learned output to infer a likelihood of a cardiac arrhythmia originating in the past.
2. The method of claim 1 , wherein transmitting the machine-learned output consumes less battery power than transmitting the cardiac signal.
3. The method of claim 1 , wherein the cardiac signal comprises an electrocardiogram signal.
4. The method of claim 1 , wherein the cardiac signal comprises a photoplethysmography signal.
5. The method of claim 1 , wherein the wearable monitor comprises an electrode.
6. The method of claim 5 , wherein the wearable monitor comprises a plurality of electrodes.
7. The method of claim 1 , wherein the wearable monitor comprises a chest strap.
8. The method of claim 1 , wherein the wearable monitor comprises a wrist-worn watch.
9. The method of claim 1 , wherein the wearable monitor comprises a housing and a plurality of wings extending from the housing, the wings configured to adhere to the skin of the patient.
10. The method of claim 1 , wherein the computing system is remote from the wearable monitor.
11. The method of claim 1 , further comprising collecting secondary physiological data.
12. The method of claim 11 , wherein the secondary physiological data comprises motion data collected by an accelerometer.
13. The method of claim 1 , further comprising algorithmically comparing the secondary physiological data with the cardiac signal.
14. The method of claim 1 , wherein the secondary physiological data comprises electrode contact quality data.
15. The method of claim 1 , wherein the computing system comprises a gateway.
16. The method of claim 1 , further comprising generating a report, the report comprising an indication of the likelihood of an occurrence of cardiac arrhythmia.
17. The method of claim 1 , further comprising calculating atrial fibrillation burden.
18. The method of claim 17 , wherein the atrial fibrillation burden comprises an amount of time spent in atrial fibrillation by the patient.
19. The method of claim 1 , further comprising estimating a noise level from the cardiac signal.
20. The method of claim 1 , wherein the wearable monitor is configured to be worn for more than 7 days.