IP Library Granted Patent US 10,813,565
Granted Patent B2
US 10,813,565 · App. 16/889,541 · Granted Oct 27, 2020

Wearable monitor

Inventors: Shena Hae Park (San Francisco, CA); Mark Day (San Francisco, CA); Frank Garcia (Redwood City, CA); Hung H. Ho (San Francisco, CA); Nicholas Hughes (Orinda, CA); Genaro S. Sepulveda (San Francisco, CA); Yuriko Tamura (San Mateo, CA)
Assignee: iRhythm Technologies, Inc.
A61B5/04087A61B5/0006A61B5/0022A61B5/0205A61B5/046A61B5/04012A61B5/04015A61B5/0456A61B5/0468A61B5/0472A61B5/04325A61B5/4839A61B5/6832A61B7/04G16H40/63G16H40/67G16H50/20G16H50/30G16H80/00A61B5/02416A61B5/02438A61B5/0404A61B5/04014A61B5/6833A61B5/6843A61B5/7282A61B2560/0209A61B2560/0412A61B2560/0468A61B2562/0219
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Quick Facts
Patent No.
US 10,813,565
App. No.
16/889,541
Granted
Oct 27, 2020
Kind
B2
Abstract

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.

Claims (28)

1. A wearable system for monitoring data, the wearable system comprising:

a cardiac sensor and circuit configured to detect or derive cardiac signals from a mammal, the circuit configured to estimate a heartbeat time series from the cardiac signals;

a secondary sensor configured to collect secondary physiological signals from the mammal;

one or more transmitters configured to transmit the heartbeat time series and secondary physiological signals to a computing device, the computing device configured to infer a likelihood of an occurrence of past cardiac arrhythmia from the heartbeat time series; and

wherein the computing device is configured to cross-check the heartbeat time series versus the secondary physiological signals such that the accuracy of the inference of the likelihood of the occurrence of past cardiac arrhythmia is improved.

2. The wearable system of claim 1 , wherein the secondary physiological signals comprise photoplethysmography signals.

3. The wearable system of claim 1 , wherein the secondary physiological signals comprise motion signals.

4. The wearable system of claim 3 , wherein the computing device is further configured to detect free-fall.

5. The wearable system of claim 1 , wherein the secondary physiological signals comprise bioimpedance signals.

6. The wearable system of claim 5 , wherein the computing device is further configured to estimate galvanic skin response.

7. The wearable system of claim 1 , wherein the secondary physiological signals comprise temperature measurements.

8. The wearable system of claim 1 , wherein the secondary physiological signals comprise oxygen saturation measurements.

9. The wearable system of claim 1 , wherein the secondary physiological signals comprise audio signals.

10. The wearable system of claim 1 , wherein the secondary physiological signals are collected intermittently.

11. The wearable system of claim 1 , wherein the computing device infers a plurality of most probable cardiac rhythms by filtering the heartbeat time series according to a predetermined threshold.

12. The wearable system of claim 1 , wherein the cross-check comprises a confidence level calculation.

13. The wearable system of claim 1 , further comprising a patient trigger, the patient trigger configured to initiate transmission of the heartbeat time series.

14. The wearable system of claim 1 , wherein the computing device is further configured to detect a partial loss of contact with the skin.

15. A wearable system for monitoring data, the wearable system comprising:

a cardiac sensor and circuit configured to detect or derive cardiac signals from a mammal, the circuit configured to estimate a heartbeat time series from the cardiac signals;

a human activity sensor configured to collect human activity signals from the mammal;

one or more transmitters configured to transmit the heartbeat time series and the human activity signals to a computing device, the computing device configured to infer a likelihood of an occurrence of past cardiac arrhythmia from the heartbeat time series; and

wherein the computing device is configured to compare the cardiac signals versus the human activity signals to determine an occurrence of a human activity event.

16. The wearable system of claim 14 , wherein the human activity signals comprise motion signals.

17. The wearable system of claim 15 , wherein the motion signals are collected by an accelerometer.

18. The wearable system of claim 15 , wherein the human activity event comprises a fall.

19. The wearable system of claim 14 , wherein the human activity event comprises disrupted sleep.

20. The wearable system of claim 14 , wherein the human activity signals are collected intermittently.

Assignments (2)
RELEASE OF SECURITY INTEREST Recorded Mar 7, 2024
From: WILMINGTON TRUST, NATIONAL ASSOCIATION
To: IRHYTHM TECHNOLOGIES, INC.
Reel/Frame 066767/0250 →
SECURITY INTEREST Recorded Jan 3, 2024
From: IRHYTHM TECHNOLOGIES, INC.
To: WILMINGTON TRUST, NATIONAL ASSOCIATION
Reel/Frame 066189/0322 →
Continuity (7)
Continuation 16422224 · May 24, 2019
Continuation 16160173 · Oct 15, 2018
Continuation 15966258 · Apr 30, 2018
Continuation 15463944 · Mar 20, 2017
Continuation 14929121 · Oct 30, 2015
Provisional Application 62073910 · Oct 31, 2014
Related Publication 20200289014A1 · Sep 17, 2020
Cited By (15)
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