Title:
METHODS AND DEVICES FOR CONTINOUS FATIGUE MONITORING USING SMART DEVICES
Document Type and Number:
WIPO Patent Application WO/2024/092505
Kind Code:
A1
Abstract:
Methods, devices and processor-readable media are described for predicting a fatigue level (270) for a user based on photoplethysmogram (PPG) signals. In various examples, the present disclosure describes a method at a device. A pair of valid PPG snippets (230) are obtained from a continuous PPG signal (210). A plurality of PPG features are extracted for each valid PPG snippet (230) of the pair of valid PPG snippets. A plurality of pairwise features (640) are then extracted from the plurality of PPG features for each valid PPG snippet (230) and a fatigue level (270) is predicted based on the pairwise features (640). Optionally, the predicted fatigue level (270) is compared to a pre-defined criteria and a fatigue alert (290) is served to the user based on the comparison. In examples, the disclosed method may help to overcome challenges associated with fatigue prediction in real-life environments where PPG signals (210) can be noisy and impacted by subject variability.
Inventors:
ZHAO YU (CA)
YE JUNTAO (CA)
LIU KUANGYU (CN)
DONG SONGSONG (CN)
YE JUNTAO (CA)
LIU KUANGYU (CN)
DONG SONGSONG (CN)
Application Number:
PCT/CN2022/128980
Publication Date:
May 10, 2024
Filing Date:
November 01, 2022
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
A61B5/024; A61B5/00; A61B5/256; G08B21/06
Domestic Patent References:
| WO2022104184A1 | 2022-05-19 |
Foreign References:
| CN110881962A | 2020-03-17 | |||
| CN109938719A | 2019-06-28 | |||
| CN111387940A | 2020-07-10 | |||
| CN113171079A | 2021-07-27 | |||
| CN113729642A | 2021-12-03 | |||
| CN114246593A | 2022-03-29 | |||
| KR20190130925A | 2019-11-25 |
Other References:
YUE YARU; LIU DONGJIE; FU SHOUDONG; ZHOU XIAOGUANG: "Heart Rate and Heart Rate Variability as Classification Features for Mental Fatigue Using Short-Term PPG Signals Via Smartphones Instead of ECG Recordings", 2021 13TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN), IEEE, 4 June 2021 (2021-06-04), pages 370 - 376, XP033931916, DOI: 10.1109/ICCSN52437.2021.9463614
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