{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T05:45:43Z","timestamp":1785044743869,"version":"3.55.0"},"reference-count":27,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T00:00:00Z","timestamp":1656547200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Philosophy and Social Science Research Planning Project of Heilongjiang Province","award":["18TYD355"],"award-info":[{"award-number":["18TYD355"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2022,6,30]]},"abstract":"<jats:p>With the accelerating rate of population aging in China, the health of the elderly has received more and more attention and has become one of the most important issues in the elderly care industry. Because of insufficient research on the personal health of the elderly, the value of medical examination data cannot be fully exploited, many physical indicators have a certain impact on overall health or heart health, and there are few studies on heart health assessment. This paper proposes a deep learning-based elderly management analysis method of human exercise health level, using the exercise health management model to evaluate the heart health level of the elderly. Firstly, the indicators to measure heart health are proposed through traditional expert knowledge and personal health index to analyze heart health. Through dynamic assessment, predict the heart health status at the next time point, analyze possible heart diseases, and provide corresponding methods for the health of the elderly, which helps improve the physical health of the elderly. Quality of life provides assistance to meet the needs of improving the health of older adults.<\/jats:p>","DOI":"10.1155\/2022\/6044320","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T20:35:05Z","timestamp":1656621305000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["Management and Analysis of Sports Health Level of the Elderly Based on Deep Learning"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3241-2045","authenticated-orcid":true,"given":"Liping","family":"Xiao","sequence":"first","affiliation":[{"name":"College of Sports Science, Harbin Normal University, Harbin 150025, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Limin","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Sports and Human Sciences, Harbin Sport University, Harbin 150008, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxia","family":"Chang","sequence":"additional","affiliation":[{"name":"College of Sports Science, Harbin Normal University, Harbin 150025, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Ji","sequence":"additional","affiliation":[{"name":"Administration of Sport for Persons with Disabilities, Beijing 101318, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Li","sequence":"additional","affiliation":[{"name":"College of Sports Science, Harbin Normal University, Harbin 150025, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/267\/5\/052058"},{"issue":"1","key":"2","doi-asserted-by":"crossref","first-page":"179823","DOI":"10.1109\/ACCESS.2019.2958474","article-title":"SPECIAL SECTION ON DATA-ENABLED INTELLIGENCE FOR DIGITAL HEALTH\u2014employing environmental data and machine learning to improve mobile health receptivity","volume":"7","author":"M. M. Theilig","year":"2019","journal-title":"IEEE Access"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2950985"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.3928\/00220124-20181017-04"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2016.11.081"},{"issue":"5","key":"6","first-page":"400","article-title":"A Suggestion on evaluating personal health state: health index","volume":"29","author":"D. J. Moon","year":"2008","journal-title":"Journal of Biomedical Engineering Research"},{"key":"7","first-page":"761","article-title":"Mining personal health index from annual geriatric medical examinations","author":"C. Ling"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.10.008"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-015-3069-8"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.09.019"},{"key":"11","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1016\/j.procs.2018.05.041","article-title":"Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals","volume":"132","author":"G. Swapna","year":"2018","journal-title":"Procedia Computer Science"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1243-3"},{"issue":"2","key":"13","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1109\/JBHI.2019.2911367","article-title":"LSTM-based ECG classification for continuous monitoring on personal wearable devices","volume":"24","author":"S. Saadatnejad","year":"2018","journal-title":"IEEE Journal of Biomedical & Health Informatics"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/icassp.2019.8682299"},{"key":"15","first-page":"4038","article-title":"\u201cEarly prediction of sepsis in EMR records using traditional ML techniques and deep learning LSTM networks","author":"S. Mohammed"},{"key":"16","doi-asserted-by":"crossref","DOI":"10.1016\/j.procs.2020.09.257","article-title":"Deep learning for heart disease detection through cardiac sounds","volume":"176","author":"L. Brunese","year":"2020","journal-title":"Procedia Computer Science"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.3390\/a13040102"},{"issue":"S1","key":"18","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1093\/eurpub\/ckm061","article-title":"A review of health management research","volume":"17","author":"D. J. Hunter","year":"2007","journal-title":"European Journal of Public Health"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1097\/md.0000000000016847"},{"issue":"2","key":"20","article-title":"On the coverage effects in wireless sensor networks based prognostic and health management","volume":"28","author":"F. Ahmad","year":"2018","journal-title":"International Journal of Sensor Networks"},{"issue":"4","key":"21","doi-asserted-by":"crossref","first-page":"295","DOI":"10.3233\/KES-2008-12404","article-title":"On the use of spiking neural network for EEG classification","volume":"12","author":"P. Goe","year":"2008","journal-title":"International Journal of Knowledge-Based and Intelligent Engineering Systems"},{"issue":"3","key":"22","first-page":"40","article-title":"Building a value model for population health management","volume":"71","author":"D. J. Marino","year":"2017","journal-title":"Healthcare Financial Management\u2009:\u2009Journal of the Healthcare Financial Management Association"},{"key":"23","first-page":"1","article-title":"Adversarial attentive multi-modal embedding learning for image-text matching","author":"K. Wei","year":"2020","journal-title":"IEEE Access"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2021.3110665"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1080\/15398285.2015.1127114"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.3390\/a12120253"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg.2018.5779"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2022\/6044320.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2022\/6044320.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2022\/6044320.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T20:35:24Z","timestamp":1656621324000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2022\/6044320\/"}},"subtitle":[],"editor":[{"given":"Dong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,6,30]]},"references-count":27,"alternative-id":["6044320","6044320"],"URL":"https:\/\/doi.org\/10.1155\/2022\/6044320","relation":{},"ISSN":["1687-5273","1687-5265"],"issn-type":[{"value":"1687-5273","type":"electronic"},{"value":"1687-5265","type":"print"}],"subject":[],"published":{"date-parts":[[2022,6,30]]}}}