US 12,226,673 B2
Exertion-driven physiological monitoring and prediction method and system
Lino Velo, San Ramon, CA (US)
Assigned to Salutron, Inc., Newark, CA (US)
Filed by Salutron, Inc., Newark, CA (US)
Filed on May 13, 2021, as Appl. No. 17/319,298.
Claims priority of provisional application 63/111,468, filed on Nov. 9, 2020.
Prior Publication US 2022/0142511 A1, May 12, 2022
Int. Cl. A63B 24/00 (2006.01); A01K 15/02 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/22 (2006.01); A63B 22/02 (2006.01); A63B 22/06 (2006.01)
CPC A63B 24/0062 (2013.01) [A01K 15/027 (2013.01); A61B 5/0205 (2013.01); A61B 5/024 (2013.01); A61B 5/222 (2013.01); A61B 5/6801 (2013.01); A61B 5/7275 (2013.01); A61B 5/7475 (2013.01); A61B 2503/10 (2013.01); A61B 2562/0219 (2013.01); A63B 22/02 (2013.01); A63B 22/0605 (2013.01); A63B 2024/0065 (2013.01); A63B 2220/805 (2013.01); A63B 2220/808 (2013.01); A63B 2220/833 (2013.01); A63B 2220/89 (2013.01); A63B 2230/04 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An exercise equipment, comprising:
one or more exercise components;
one or more physiological response monitors incorporated into the one or more exercise components, including a contact heart monitor configured to be gripped by hands of a subject, the physiological response monitors configured to provide heart rate data of the subject during an exertion event using the one or more exercise components;
one or more exertion monitors and configured to indicate one or more motion related metrics of a subject during the exertion event;
a memory configured to store one or more previously determined dynamic physiological response models for the subject, each of the dynamic physiological response models configured to provide a synthetically generated heart rate signal for the subject in real time from data values received from the exertion monitors in an absence of the one or more physiological signals, including the absence of the measured heart rate signal, indicating a heart rate value of the subject during a subsequent exertion event that corresponds to the subject's actual heart rate with a confidence level above a threshold value; and
one or more processing circuits connected to the one or more physiological response monitors, to the one or more exertion monitors, and to the memory, one or more processing circuits configured to:
retrieve, from the memory, one or more of the dynamic physiological response models for the subject;
receive, from the one or more exertion monitors, the one or more motion related metrics of the subject during the exertion event;
in absence of the heart rate data of the subject from the physiological response monitors, providing the physiological response, including the synthetically generated heart rate signal, and the corresponding heart rate value for the subject, in real time, during the exertion event and from the retrieved one or more of the dynamic physiological response models for the subject;
subsequent to predicting the physiological response for the subject to the exertion event, and upon a renewed presence of heart rate data, receive, from the one or more physiological response monitors, the heart rate data of the subject during an exertion event using the one or more exercise components; and
during the exertion event, update the provided physiological response of the subject to the exertion event based on the received heart rate data of the subject to the exertion event.