Techniques for detecting atrial fibrillation

Patent metadata

Field	Value
Publication number	US-12575779-B2
Application number	US-202217984870-A
Country	US
Kind code	B2
Filing date	Nov 10, 2022
Priority date	Nov 29, 2021
Publication date	Mar 17, 2026
Grant date	Mar 17, 2026

Abstract

Methods, systems, and devices for atrial fibrillation (AFib) detection are described. A method may include acquiring physiological data collected from a user via a wearable ring device, the physiological data including temperature data and motion data, and identifying that a measurement trigger condition for AFib has been satisfied based on the temperature data satisfying a temperature threshold and the motion data satisfying a motion threshold. The method may include sampling photoplethysmogram (PPG) data for the user via the wearable ring device based on identifying satisfaction of the measurement trigger condition, and classifying one or more AFib states based on the sampled PPG data. The method may further include causing a GUI of a user device to display an indication of the one or more AFib states.

First claim

What is claimed is:

1 . A method for detecting physiological conditions associated with atrial fibrillation, comprising:
acquiring, via one or more sensors of a wearable ring device, physiological data from a user, the physiological data comprising temperature data and motion data, wherein the wearable ring device comprises:
a ring-shaped housing having an inner curved surface and an outer curved surface, wherein at least a portion of the inner curved surface is configured to contact a tissue of a finger of the user;
one or more temperature sensors arranged on the inner curved surface of the ring-shaped housing;
one or more photoplethysmogram (PPG) sensors arranged on the inner curved surface of the ring-shaped housing;
one or more processors disposed at least partially within the ring-shaped housing, the one or more processors electrically coupled with the one or more temperature sensors and the one or more PPG sensors, the one or more processors configured to generate physiological data associated with the user based at least in part on light received by the one or more PPG sensors;
a curved battery disposed at least partially within the ring-shaped housing, the curved battery electrically coupled with the one or more temperature sensors, the one or more PPG sensors, and the one or more processors; and
a communication module electrically coupled with the one or more processors, the communication module configured to transmit the physiological data generated by the one or more processors;
identifying, by the one or more processors of the wearable ring device, that a measurement trigger condition for atrial fibrillation has been satisfied, wherein the measurement trigger condition is satisfied based on one or more values of the temperature data being above a temperature threshold and one or more values of the motion data being below a motion threshold; supplying, by the one or more processors of the wearable ring device, a first power level to one or more PPG sensors of the wearable ring device based on the measurement trigger condition being satisfied, wherein the one or more PPG sensors emit light using the supplied first power level to sample PPG data of the user for one or more time periods; inputting, to one or more first machine learning classifiers, a set of PPG pulses associated with the sampled PPG data; classifying, by the one or more first machine learning classifiers, one or more atrial fibrillation states based at least in part on one or more characteristics of the set of PPG pulses, the one or more atrial fibrillation states indicative of a relative risk of atrial fibrillation occurrences for the user; receiving, via a user device, an indication of one or more behaviors of the user associated with triggering of the atrial fibrillation occurrences; predicting, by one or more second machine learning identifiers, one or more atrial fibrillation occurrences, wherein the one or more second machine learning identifiers are trained according to the indication of the one or more behaviors of the user; and causing a graphical user interface of the user device to display an indication of the one or more atrial fibrillation states, an indication of the one or more atrial fibrillation occurrences, or both.

2 . The method of claim 1 , further comprising:
receiving, via the user device, a user input comprising a request for an atrial fibrillation measurement; and evaluating the measurement trigger condition based at least in part on the user input, wherein identifying that the measurement trigger condition has been satisfied is based at least in part on the evaluating.

3 . The method of claim 1 , further comprising:
evaluating satisfaction of the measurement trigger condition in accordance with a regular periodicity, an irregular periodicity, or both, wherein identifying the satisfaction of the measurement trigger condition is based at least in part on the evaluating.

4 . The method of claim 1 , further comprising:
selectively adjusting one or more parameters associated with atrial fibrillation measurement based at least in part on the one or more atrial fibrillation states, the one or more parameters comprising a measurement periodicity, a power level supplied to the one or more PPG sensors, or both.

5 . The method of claim 1 , further comprising:
receiving a user input to perform an electrocardiogram (ECG) measurement based at least in part on the indication of the one or more atrial fibrillation states; collecting ECG data for the user via the wearable ring device based at least in part on the user input; identifying one or more additional atrial fibrillation states based at least in part on the collected ECG data; and causing the graphical user interface of the user device to display an indication of the one or more additional atrial fibrillation states.

6 . The method of claim 5 , further comprising:
causing the graphical user interface of the user device to display a prompt for performing the ECG measurement based at least in part on the one or more atrial fibrillation states, wherein the user input is received in response to the prompt.

7 . The method of claim 5 , further comprising:
causing the graphical user interface of the user device to display instructions for positioning the wearable ring device for the ECG measurement in response to receiving the user input, wherein collecting the ECG data is based at least in part on the instructions.

8 . The method of claim 6 , wherein collecting the ECG data comprises:
measuring a voltage differential between an inner surface of the wearable ring device and an outer surface of the wearable ring device, wherein the ECG data is based at least in part on the voltage differential.

9 . The method of claim 1 , further comprising:
identifying the set of PPG pulses for the user based at least in part on the sampled PPG data; and identifying at least one ectopic beat associated with at least one PPG pulse of the set of PPG pulses based at least in part on one or more characteristics associated with the at least one PPG pulse, wherein classifying the one or more atrial fibrillation states is based at least in part on identifying the at least one ectopic beat.

10 . The method of claim 9 , further comprising:
removing the at least one PPG pulse associated with the at least one ectopic beat from the set of PPG pulses; and identifying one or more irregular PPG pulses within a second set of PPG pulses based at least in part on the removing, wherein classifying the one or more atrial fibrillation states is based at least in part on the one or more irregular PPG pulses.

11 . The method of claim 9 , further comprising:
determining the one or more characteristics of the at least one ectopic beat based at least in part on a comparison of the at least one PPG pulse with a baseline PPG pulse.

12 . The method of claim 9 , wherein the one or more characteristics of the at least one PPG pulse comprises a timing of the at least one PPG pulse, an amplitude of the at least one PPG pulse, a time interval of the at least one PPG pulse, or any combination thereof.

13 . The method of claim 1 , further comprising:
identifying the set of PPG pulses for the user based at least in part on the sampled PPG data; and comparing the set of PPG pulses for the user with a baseline PPG pulse for the user, wherein classifying the one or more atrial fibrillation states is based at least in part on the comparing.

14 . The method of claim 1 , wherein the one or more atrial fibrillation states comprises a positive atrial fibrillation state, a negative atrial fi

Assignees

• Oura Health Oy

Inventors

• Kenttä Tuomas Viljami
• Kent Steve
• Zhang Xi

Classifications

• A61B5/02427

  Details of sensor · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• A61B5/6802 Primary

  Sensor mounted on worn items · CPC title

• A61B5/7435

  Displaying user selection data, e.g. icons in a graphical user interface · CPC title

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title