This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (816) mHealth for Data Collection and Research (912) Novel Sensors and Data Acquisition Methods in Cardiology (190)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43340, first published .
Smartwatch-Based Maximum Oxygen Consumption Measurement for Predicting Acute Mountain Sickness: Diagnostic Accuracy Evaluation Study

Smartwatch-Based Maximum Oxygen Consumption Measurement for Predicting Acute Mountain Sickness: Diagnostic Accuracy Evaluation Study

Smartwatch-Based Maximum Oxygen Consumption Measurement for Predicting Acute Mountain Sickness: Diagnostic Accuracy Evaluation Study

Authors of this article:

Xiaowei Ye1 Author Orcid Image ;   Mengjia Sun1 Author Orcid Image ;   Shiyong Yu1 Author Orcid Image ;   Jie Yang1 Author Orcid Image ;   Zhen Liu1 Author Orcid Image ;   Hailin Lv1 Author Orcid Image ;   Boji Wu1 Author Orcid Image ;   Jingyu He1 Author Orcid Image ;   Xuhong Wang1 Author Orcid Image ;   Lan Huang1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Wang B, Chen S, Song J, Huang D, Xiao G. Recent advances in predicting acute mountain sickness: from multidimensional cohort studies to cutting-edge model applications. Frontiers in Physiology 2024;15 View