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

Fitness Trackers and Smart Pedometers/Accelerometers (571) Innovations and Technology for Physical Activity Education (756) mHealth for Wellness, Behavior Change and Prevention (2922) Novel Sensors and Data Acquisition Methods in Cardiology (200) Parent and Child Education on Physical Activity (137) School-based Health Education and Interventions (88)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17699, first published .
Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study

Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study

Using Smart Bracelets to Assess Heart Rate Among Students During Physical Education Lessons: Feasibility, Reliability, and Validity Study

Authors of this article:

Jiangang Sun1 Author Orcid Image ;   Yang Liu1, 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Journals

  1. Cai Y, Wang Z, Zhang W, Kong W, Jiang J, Zhao R, Wang D, Feng L, Ni G. Estimation of Heart Rate and Energy Expenditure Using a Smart Bracelet during Different Exercise Intensities: A Reliability and Validity Study. Sensors 2022;22(13):4661 View
  2. Luo X, Zhao H, Chen Y, Ahmed S. Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network. Computational Intelligence and Neuroscience 2022;2022:1 View
  3. de Jesus G, de Oliveira Araujo R, Dias L, Barros A, dos Santos Araujo L, de Assis M. Attendance in physical education classes, sedentary behavior, and different forms of physical activity among schoolchildren: a cross-sectional study. BMC Public Health 2022;22(1) View
  4. Agarwal A, Graft J, Schroeder N, Romine W. Sensor-Based Prediction of Mental Effort during Learning from Physiological Data: A Longitudinal Case Study. Signals 2021;2(4):886 View
  5. Li W, Chen S, Zhang J, Zhao Y, Huang S, Wu L, Gong X. Development and validation of mobile app and data management system for intelligent control of indoor thermal environment. Journal of Building Engineering 2023;69:106272 View
  6. Sijerčić A. A Review of the Impact of Education on the Adoption of Smart Technologies for Atrial Fibrillation Detection. Cardiologia Croatica 2023;18(7-8):203 View
  7. Shui X, Chen Y, Hu X, Wang F, Zhang D. Personality in Daily Life: Multi-Situational Physiological Signals Reflect Big-Five Personality Traits. IEEE Journal of Biomedical and Health Informatics 2023;27(6):2853 View
  8. He C, Peng X, Zhang J, Cheng W, Guo S, Hu W, Fang C, Huan M, Lu Y, Sang M, Zhou T, Wu H, Li L, Quan M. Effects of 12-week aerobic exercise with different frequencies on executive function in preschool children: a cluster randomized controlled trial. Psychology & Health 2024:1 View
  9. Mei L, He Z, Hu L. Accuracy of the Huawei GT2 Smartwatch for measuring Physical Activity and Sleep among Adults during Daily Life: A Validation Study (Preprint). JMIR Formative Research 2024 View
  10. Xu R. Research on Collaborative Interaction Mode of Intelligent Physical Education Teaching Based on Cloud Platform under the View of Digitization. Applied Mathematics and Nonlinear Sciences 2024;9(1) View