{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:14:35Z","timestamp":1767168875818,"version":"build-2238731810"},"reference-count":31,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T00:00:00Z","timestamp":1630281600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2021,8,30]]},"abstract":"<jats:p>Intelligent sports equipment and software have emerged in the field of sports as a result of the advancement of information technology, allowing professional athletes to collect and visually display the movement and physical signs of the human body to aid in the planning of sports strategies. Intuitive data, on the other hand, cannot assist ordinary people who lack professional knowledge in exercising correctly. As a result, in the field of intelligent sports and health, effective use of collected exercise and physical sign data to analyze the user\u2019s personal physical condition and generate reasonable exercise suggestions has emerged as a research direction. In humans, the heart sound signal is a biological signal. It can help people detect and monitor heart health problems by analyzing the characteristics of heart sound signals. The goal of this paper is to use heart sound to identify and analyze athletes\u2019 training health. It provides a revolutionary health analysis algorithm based on heart rhythm feature extraction and convolutional neural networks, which is based on exercise training. It greatly improves the accuracy of the recognition and prediction of the athlete\u2019s training health status.<\/jats:p>","DOI":"10.1155\/2021\/2946044","type":"journal-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T14:35:45Z","timestamp":1630420545000},"page":"1-9","source":"Crossref","is-referenced-by-count":1,"title":["Sports Training Health Analysis Algorithm Based on Heart Rhythm Feature Extraction and Convolutional Neural Network"],"prefix":"10.1155","volume":"2021","author":[{"given":"Jing","family":"Li","sequence":"first","affiliation":[{"name":"Sports Center, Xi\u2019an Jiaotong University, Xi\u2019an, Shaanxi 710049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunhang","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Physical Education, Kyungpook National University, Daegu 41566, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9427-2263","authenticated-orcid":true,"given":"Ziyi","family":"Xiao","sequence":"additional","affiliation":[{"name":"Teaching and Research Office of College Physical Education, Yanching Institute of Technology, Langfang 065201, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.2307\/2676395"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2021.100796"},{"issue":"6","key":"3","article-title":"The negative impact of poverty on the health of women and children","volume":"7","author":"C. 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