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Classification system for Ai-enabled consumer-grade wearable technologies aiming to automatize decision-making about individualization of exercise procedures.

作者信息

Düking Peter, Robertson Sam, Holmberg Hans-Christer, Wolf Klaus-Hendrik, Sperlich Billy

机构信息

Department of Sports Science and Movement Pedagogy, Technische Universität Braunschweig, Braunschweig, Germany.

Institute for Health & Sport, Victoria University, Melbourne, VIC, Australia.

出版信息

Front Sports Act Living. 2025 Jan 29;6:1500563. doi: 10.3389/fspor.2024.1500563. eCollection 2024.

DOI:10.3389/fspor.2024.1500563
PMID:39945004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11813931/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb1/11813931/2cf7ef129d7f/fspor-06-1500563-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb1/11813931/2cf7ef129d7f/fspor-06-1500563-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb1/11813931/2cf7ef129d7f/fspor-06-1500563-g001.jpg

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Strengths, weaknesses, opportunities, and threats associated with the application of artificial intelligence in connection with sport research, coaching, and optimization of athletic performance: a brief SWOT analysis.与人工智能在体育研究、教练指导和运动表现优化方面的应用相关的优势、劣势、机会和威胁:简要的SWOT分析。
Front Sports Act Living. 2023 Oct 18;5:1258562. doi: 10.3389/fspor.2023.1258562. eCollection 2023.
2
How Do Autonomous Vehicles Decide?自动驾驶汽车如何决策?
Sensors (Basel). 2022 Dec 28;23(1):317. doi: 10.3390/s23010317.
3
Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses.
可穿戴活动追踪器对增加身体活动和改善健康的有效性:系统评价和荟萃分析的系统评价。
Lancet Digit Health. 2022 Aug;4(8):e615-e626. doi: 10.1016/S2589-7500(22)00111-X.
4
Monitoring and adapting endurance training on the basis of heart rate variability monitored by wearable technologies: A systematic review with meta-analysis.基于可穿戴技术监测的心率变异性来监测和调整耐力训练:系统评价与荟萃分析。
J Sci Med Sport. 2021 Nov;24(11):1180-1192. doi: 10.1016/j.jsams.2021.04.012. Epub 2021 May 12.
5
The acute effects of temperature variability on heart rate variability: A repeated-measure study.温度变异性对心率变异性的急性影响:一项重复测量研究。
Environ Res. 2021 Mar;194:110655. doi: 10.1016/j.envres.2020.110655. Epub 2020 Dec 29.
6
Overview of artificial intelligence in medicine.医学中的人工智能概述。
J Family Med Prim Care. 2019 Jul;8(7):2328-2331. doi: 10.4103/jfmpc.jfmpc_440_19.
7
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Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
9
2018 ESC/ESH Guidelines for the management of arterial hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension.2018年欧洲心脏病学会/欧洲高血压学会动脉高血压管理指南:欧洲心脏病学会动脉高血压管理特别工作组和欧洲高血压学会:欧洲心脏病学会动脉高血压管理特别工作组和欧洲高血压学会。
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