IP Library › Granted Patent US 12,527,485
Granted Patent B2
US 12,527,485 · App. 18/374,206 · Granted Jan 20, 2026

Physiological sampling during predetermined activities

Inventors: Siyi Deng (San Jose, CA); Stephen J. Waydo (Saratoga, CA); Jay Blahnik (San Francisco, CA); Lun Dong (Cupertino, CA); Ian R. Shapiro (San Francisco, CA)
Assignee: Apple Inc.
A61B5/02405A61B5/0205A61B5/021A61B5/02416A61B5/02427A61B5/02438A61B5/1118A61B5/1123A61B5/681A61B5/7221A61B5/7271G16H20/10G16H20/30G16H40/67G16H50/70A61B5/0022A61B5/0064A61B5/01A61B5/7203A61B5/7282A61B2503/10
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Quick Facts
Patent No.
US 12,527,485
App. No.
18/374,206
Granted
Jan 20, 2026
Kind
B2
Abstract

This disclosure relates to methods for measuring one or more physiological signals while the user is engaged in a predetermined activity. Exemplary predetermined activities can include activities such as walking, climbing stairs, biking, and the like. The physiological measurements can include, but are not limited to, heart rate signals. The physiological measurements may be affected by the predetermined activity, so the system may be configured to employ one or more criteria prior to measuring physiological information to minimize the effects. The one or more criteria can include, but are not limited to, an inter-sampling waiting time, continuous motion criteria, predetermined activity criteria, a post-physiological measurement amount of time, and a confidence value. The continuous motion criteria can be based on the type of predetermined activity. For example, walking may have walking state criteria and a step count criteria.

Claims (51)

1 . An electronic device comprising:

one or more sensors configured to measure motion and output one or more motion signals indicative of the measured motion;

one or more light sources configured to emit light;

one or more light detectors configured to detect a reflection of the emitted light; and

a processor configured to:

operate the one or more light sources and the one or more light detectors using a first set of parameters;

in response to determining that the one or more motion signals are associated with a predetermined activity:

operate the one or more light sources and the one or more light detectors using a second set of parameters associated with the predetermined activity;

determine a confidence metric for measurements obtained while operating the one or more light sources and the one or more light detectors using the second set of parameters; and

in response to determining that the confidence metric satisfies a criteria, store one or more physiological parameters determined using the measurements obtained while operating the one or more light sources and the one or more light detectors using the second set of parameters.

2 . The electronic device of claim 1 , wherein the processor is configured to, in response to determining that the confidence metric does not satisfy the criteria, obtain additional measurements.

3 . The electronic device of claim 2 , wherein, the additional measurements are obtained by operating the one or more light sources and the one or more light detectors using a third set of parameters.

4 . The electronic device of claim 2 , wherein the processor is configured to, in response to determining that a measurement duration satisfies the criteria, wait a duration before obtaining additional measurements.

5 . The electronic device of claim 4 , wherein the duration is based on a battery level of the electronic device.

6 . The electronic device of claim 1 , the processor is configured to, in response to determining that the confidence metric satisfies the criteria, wait a duration before obtaining additional measurements using the second set of parameters.

7 . The electronic device of claim 6 , wherein the processor is configured to operate the one or more light sources and the one or more light detectors using the first set of parameters during the duration.

8 . The electronic device of claim 1 , wherein the first set of parameters cause the one or more light sources and the one or more light detectors to be operated in a lower power state than the second set of parameters.

9 . The electronic device of claim 8 , wherein the second set of parameters cause at least one of an increase in an intensity of emitted light, a higher sample rate, activating additional light sources, or activating additional light detectors.

10 . An electronic device comprising:

one or more sensors configured to measure motion and output one or more motion signals indicative of the measured motion;

one or more light sources configured to emit light;

one or more light detectors configured to detect a reflection of the emitted light; and

a processor configured to:

in response to determining that the one or more motion signals are associated with a predetermined activity, initiate a measurement session comprising:

operating the one or more light sources and the one or more light detectors in accordance with a predetermined activity mode corresponding to the predetermined activity to obtain a first set of measurements;

determining a confidence metric for the first set of measurements obtained; and

in response to determining that the confidence metric does not satisfy a criteria:

determining whether a measurement duration has elapsed; and

in response to determining that the measurement duration has not elapsed, operating the one or more light sources and the one or more light detectors in accordance with the predetermined activity mode to obtain a second set of measurements.

11 . The electronic device of claim 10 , wherein the processor is configured to, in response to determining that the measurement duration has elapsed without obtaining a set of measurements having a confidence metric that satisfies the criteria:

determine that the measurement session was unsuccessful; and

initiate a second measurement session that includes operating the one or more light sources and the one or more light detectors using a modified predetermined activity mode.

12 . The electronic device of claim 11 , wherein the modified predetermined activity mode comprises at least one of an increase in an intensity of emitted light, a higher sampling rate, activating additional light sources, or activating additional light detectors.

13 . The electronic device of claim 10 , wherein the processor is configured to, in response to determining that the measurement duration has elapsed without obtaining a set of measurements having a confidence metric that satisfies the criteria:

determine that the measurement session was unsuccessful; and

enter a reset period prior to initiating a subsequent measurement session.

14 . The electronic device of claim 13 , wherein, during the reset period, the processor is configured to operate the one or more light sources and the one or more light detectors in a low power mode.

15 . The electronic device of claim 10 , wherein in response to determining that a confidence metric for the second set of measurements satisfies the criteria, store one or more physiological parameters determined using the second set of measurements.

16 . A method for operating a wearable electronic device, the method comprising:

operating one or more sensors to measure motion of a user;

in response to determining that measured motion is associated with a predetermined activity:

operating one or more light sources and one or more light detectors in accordance with a predetermined activity mode corresponding to the predetermined activity to obtain a first set of measurements

determining a confidence metric for the first set of measurements;

in response to determining that the confidence metric satisfies a criteria, storing one or more physiological parameters determined using the first set of measurements; and

in response to determining that the confidence metric does not satisfy the criteria, operating the one or more light sources and the one or more light detectors in accordance with the predetermined activity mode to obtain a second set of measurements.

17 . The method of claim 16 , further comprising, in response to determining that the confidence metric does not satisfy the criteria:

determining whether a measurement duration has elapsed; and

in response to determining that the measurement duration has not elapsed, operating the one or more light sources and the one or more light detectors in accordance with the predetermined activity mode to obtain the second set of measurements.

18 . The method of claim 16 , further comprising, in response to determining that the confidence metric does not satisfy the criteria, operating the one or more light detectors in accordance with a modified predetermined activity mode to obtain the second set of measurements.

19 . The method of claim 18 , wherein the modified predetermined activity mode comprises at least one of an increase in an intensity of emitted light, a higher sampling rate, activating additional light sources, or activating additional light detectors.

20 . The method of claim 16 , further comprising in response to storing the one or more physiological parameters determined using the first set of measurements, operating the one or more light sources and the one or more light detectors in a low power mode.

Continuity (4)
Continuation 17521377 · Nov 8, 2021
Continuation 15991798 · May 29, 2018
Provisional Application 62514437 · Jun 2, 2017
Related Publication 20240016400A1 · Jan 18, 2024
References Cited (54)
US 5483261A · Yasutake · 1996 [cited by applicant]
US 5488204A · Mead et al. · 1996 [cited by applicant]
US 5825352A · Bisset et al. · 1998 [cited by applicant]
US 5835079A · Shieh · 1998 [cited by applicant]
US 5880411A · Gillespie et al. · 1999 [cited by applicant]
US 6188391B1 · Seely et al. · 2001 [cited by applicant]
US 6310610B1 · Beaton et al. · 2001 [cited by applicant]
US 6323846B1 · Westerman et al. · 2001 [cited by applicant]
US 6690387B2 · Zimmerman et al. · 2004 [cited by applicant]
US 7015894B2 · Morohoshi · 2006 [cited by applicant]
US 7184064B2 · Zimmerman et al. · 2007 [cited by applicant]
US 7663607B2 · Hotelling et al. · 2010 [cited by applicant]
US 8392735B2 · Mucignat et al. · 2013 [cited by applicant]
US 8479122B2 · Hotelling et al. · 2013 [cited by applicant]
US 9009516B1 · Gabayan et al. · 2015 [cited by applicant]
US 9554747B2 · Albinali · 2017 [cited by examiner]
US 10327674B2 · Hong et al. · 2019 [cited by applicant]
US 11166640B2 · Deng et al. · 2021 [cited by applicant]
US 20040015103A1 · Aminian · 2004 [cited by applicant]
US 20060197753A1 · Hotelling · 2006 [cited by applicant]
US 20130324855A1 · Lisogurski · 2013 [cited by applicant]
US 20140275852A1 · Hong et al. · 2014 [cited by applicant]
US 20160029898A1 · LeBoeuf et al. · 2016 [cited by applicant]
US 20160034634A9 · Hong · 2016 [cited by examiner]
US 20160038045A1 · Shapiro · 2016 [cited by applicant]
US 20160058337A1 · Blahnik et al. · 2016 [cited by applicant]
US 20160091952A1 · Xu et al. · 2016 [cited by applicant]
US 20160150978A1 · Yuen · 2016 [cited by examiner]
US 20160324432A1 · Ahmed et al. · 2016 [cited by applicant]
US 20160367187A1 · Ahmed · 2016 [cited by examiner]
US 20160368965A1 · Tran · 2016 [cited by applicant]
US 20160374567A1 · Breslow · 2016 [cited by examiner]
US 20170128019A1 · Shao et al. · 2017 [cited by applicant]
US 20170188847A1 · Ahmed · 2017 [cited by examiner]
US 20170337349A1 · Cronin · 2017 [cited by applicant]
US 20180000424A1 · Demirtas · 2018 [cited by examiner]
US 20180156660A1 · Turgeon · 2018 [cited by applicant]
US 20220054030A1 · Deng et al. · 2022 [cited by applicant]
CN 101493865 · 2009 [cited by applicant]
CN 102151136 · 2011 [cited by applicant]
CN 102713788 · 2012 [cited by applicant]
CN 201487703 · 2015 [cited by applicant]
CN 105208924 · 2015 [cited by applicant]
CN 105549720 · 2016 [cited by applicant]
CN 105996987 · 2016 [cited by applicant]
CN 106161777 · 2016 [cited by applicant]
CN 106502369 · 2017 [cited by applicant]
JP 2000163031 · 2000 [cited by applicant]
JP 2002342033 · 2002 [cited by applicant]
WO WO16087381 · 2016 [cited by applicant]
Lee, S.K. et al. (Apr. 1985). “A Multi-Touch Three Dimensional Touch-Sensitive Tablet,” [cited by applicant]
Rubine, D.H. (Dec. 1991). “The Automatic Recognition of Gestures,” CMU-CS-91-202, Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Science at Carnegie Mellon Univer… [cited by applicant]
Rubine, D.H. (May 1992). “Combining Gestures and Direct Manipulation,” CHI '92, pp. 659-660. [cited by applicant]
Westerman, W. (Spring 1999). “Hand Tracking, Finger Identification, and Chordic Manipulation on a Multi-Touch Surface,” A Dissertation Submitted to the Faculty of the University of Delaware in Partial Fulfillment of the… [cited by applicant]