Wearable monitor with arrhythmia burden evaluation

• US 10,098,559 B2
• Filed: 04/30/2018
• Issued: 10/16/2018
• Est. Priority Date: 10/31/2014
• Status: Active Grant

• Current Assignee: iRhythm Technologies Incorporated
• Original Assignee: iRhythm Technologies Incorporated
• Inventors: Hughes, Nicholas, Day, Mark, Tamura, Yuriko
• Primary Examiner(s): Gedeon, Brian T
• Application Number:
  US15/966,258
• Publication Number:
  US 20180242876A1
• Time in Patent Office: 169 Days
• Field of Search: None
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0412 Low-profile patch shaped housings
• CPC Class Codes: A61B 2560/0468 Built-in electrodes
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/259 using conductive adhesive means, e.g. gels
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/335 using integrated circuit memory devices
• CPC Class Codes: A61B 5/346 Analysis of electrocardiograms
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/361 Detecting fibrillation
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/366 Detecting abnormal QRS complex, e.g. widening
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6832 using adhesives A61B5/259 takes precedence
• CPC Class Codes: A61B 5/6833 : Adhesive patches
• CPC Class Codes: A61B 5/6843 : Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/7264 : Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 : Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 7/04 : Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/20 : for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

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

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

a 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 transmitter, the transmitter configured to transmit the heartbeat time series to a computing device, the computing device configured to determine an atrial fibrillation burden from the heartbeat time series; and

wherein the computing device is configured to provide a report, the report comprising the likelihood of the occurrence of past atrial fibrillation event.

2. The wearable device of claim 1, wherein the atrial fibrillation burden comprises an amount of time spent in atrial fibrillation by the mammal per day.

3. The wearable device of claim 1, wherein the atrial fibrillation burden comprises an amount of time spent in atrial fibrillation by the mammal per minute.

4. The wearable device of claim 1, wherein the atrial fibrillation burden comprises an amount of time spent in atrial fibrillation by the mammal during a sleep period and during a wake period.

5. The wearable device of claim 1, wherein the report comprises a histogram of atrial fibrillation burden.

6. The wearable device of claim 1, further comprising an accelerometer, the accelerometer configured to measure movement of the mammal.

7. The wearable device of claim 6, wherein the atrial fibrillation burden comprises an amount of time spent in atrial fibrillation during movement of the mammal.

8. The wearable device of claim 7, wherein the movement of the mammal comprises a first degree of movement and a second degree of movement.

9. The wearable device of claim 1, wherein the report comprises a 14 day monitoring period.

10. The wearable device 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.

11. The wearable device of claim 1, wherein the sensor and circuit are contained within a chest strap.

12. The wearable device of claim 1, wherein the sensor and circuit are contained within a watch, configured to be worn on a human wrist.

13. The wearable device of claim 1, wherein the sensor and circuit are contained within a wearable fitness band.

14. A wearable device for monitoring data, the device comprising:

a 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 transmitter, the transmitter configured to transmit the heartbeat time series to a computing device, the computing device configured to determine an arrhythmia burden from the heartbeat time series; and

wherein the computing device is configured to provide a report, the report comprising the likelihood of the occurrence of past cardiac arrhythmia.

15. The wearable device of claim 14, wherein the arrhythmia comprises ventricular tachycardia.

16. The wearable device of claim 14, wherein the arrhythmia comprises supraventricular tachycardia.

17. The wearable device of claim 14, wherein the arrhythmia comprises ectopy.

18. The wearable device of claim 14, wherein the arrhythmia comprises ventricular fibrillation.

19. The wearable device of claim 14, wherein the arrhythmia comprises extended pauses.

20. The wearable device of claim 14, wherein the report comprises a histogram of the arrhythmia burden.