Vital Signs Monitor
US-2015087933-A1 · Mar 26, 2015 · US
US11289197B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11289197-B1 |
| Application number | US-202117643160-A |
| Country | US |
| Kind code | B1 |
| Filing date | Dec 7, 2021 |
| Priority date | Oct 31, 2014 |
| Publication date | Mar 29, 2022 |
| Grant date | Mar 29, 2022 |
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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.
Opening claim text (preview).
What is claimed is: 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.
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