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Smartwatch measurement of blood oxygen saturation for predicting acute mountain sickness: Diagnostic accuracy and reliability.
Zeng, Zhengyang; Li, Lili; Hu, Li'ao; Wang, Kang; Li, Lun.
Affiliation
  • Zeng Z; Department of Physical Education, Chengdu Technological University, Yibin, Sichuan, China.
  • Li L; School of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
  • Hu L; School of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
  • Wang K; School of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
  • Li L; School of Physical Education, China University of Geosciences (Wuhan), Hubei, China.
Digit Health ; 10: 20552076241284910, 2024.
Article in En | MEDLINE | ID: mdl-39351311
ABSTRACT

Objective:

This study aims to assess the accuracy and stability of smartwatches in predicting acute mountain sickness (AMS).

Methods:

In locations exceeding an altitude of 2500 m, a cohort of 42 subjects had their Lake Louise AMS self-assessment score, blood oxygen saturation (SpO2), heart rate, and perfusion index measured using smartwatches, with the data seamlessly conveyed to the Huawei Cloud.

Results:

A significant decrease in SpO2 was observed in individuals positive for AMS compared to those negative (p < 0.05), with the mild AMS group exhibiting significantly lower SpO2 levels than the non-AMS group (p < 0.05). Furthermore, SpO2 emerged as a significant, independent predictor of AMS [ß=-0.086, p < 0.01, OR (95% CI) = 0.92 (0.87-0.97)], indicating that each unit increase in SpO2 decreases the probability of AMS occurrence by 8.6%.

Conclusion:

The Huawei smartwatches have demonstrated efficacy in diagnosing and foretelling AMS at elevations exceeding 4000 m, showcasing significant reliability and high precision in SpO2 measurement.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Digit Health Year: 2024 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Digit Health Year: 2024 Document type: Article Affiliation country: China Country of publication: United States