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

Case Report (72) New Methods (1831) mHealth for Data Collection and Research (1768) Wearable Devices and Sensors (1628) Fitness Trackers and Smart Pedometers/Accelerometers (803)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91216, first published .
Man stretching in gym, smartwatch shows Resting HR Prediction: 67 bpm

Using Statistical Time-Series Forecasting to Predict the Resting Heart Rate From Wearable Device Data: Case Report

Using Statistical Time-Series Forecasting to Predict the Resting Heart Rate From Wearable Device Data: Case Report

Authors of this article:

Ying-Ju Chen1 Author Orcid Image ;   Chia-Yu Liu2 Author Orcid Image ;   Ya-Han Chang2 Author Orcid Image ;   Huh-Tswen Eric Lin3 Author Orcid Image ;   Tsang-Hai Huang1 Author Orcid Image
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Ying-Ju Chen   1 * , MSc ;   Chia-Yu Liu   2 * , MS ;   Ya-Han Chang   2 , MS ;   Huh-Tswen Eric Lin   3 , PhD ;   Tsang-Hai Huang   1 , PhD

1 Institute of Physical Education, Health and Leisure Studies, National Cheng Kung University, Tainan, Taiwan

2 Cycling Innovation Center, Giant Manufacturing Co., Ltd., Taichung, Taiwan

3 Power Delivery Data Analytics Innovation, Georgia Power (United States), Atlanta, GA, United States

*these authors contributed equally

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