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This article mainly introduces the intervention of artificial intelligence and emotional intelligence on the rehabilitation of athletes\u2019 muscle strains. Among them, artificial intelligence and emotional intelligence are a brand-new nursing intervention method. This article compares conventional rehabilitation therapy with these two new types of intelligent interventions to explore the effects of artificial intelligence intervention and emotional intelligence intervention in the rehabilitation of athletes. The experimental results show that the average number of muscle restrains under the intervention of artificial intelligence is 4.1 times, the average restrain rate of muscles is 27.7%, and the average recovery degree of athletes is 94.7%. The average SPB score under emotional intelligence intervention was 56 points. Artificial intelligence interventions can enhance rehabilitation through advanced technology, and emotional intelligence interventions can provide emotional support to effectively improve treatment outcomes and quality of life.<\/jats:p>","DOI":"10.1155\/2022\/5403681","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T19:35:24Z","timestamp":1648582524000},"page":"1-11","source":"Crossref","is-referenced-by-count":4,"title":["Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention"],"prefix":"10.1155","volume":"2022","author":[{"given":"Yu","family":"Qiao","sequence":"first","affiliation":[{"name":"Angeles University Foundation, Angeles City, Pampanga, Philippines"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Anhui Wannan Medical College, Wuhu, 241000 Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2800-3284","authenticated-orcid":true,"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wanjiang College of Anhui Normal University, Wuhu, 241000 Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eiar.2020.106515"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2021.3112264"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/s40860-017-0039-9"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1049\/iet-sen.2016.0191"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-020-01858-3"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1671-7104.2019.01.018"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2019.2924393"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2017.05.017"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2019.07.019"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2021.04.174"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2017.06.011"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.futures.2017.03.006"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2017.1600304WC"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.02.016"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.2017.10.1.51"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacr.2017.12.026"},{"issue":"3","key":"17","first-page":"45","article-title":"Energy efficient routing and reliable data transmission protocol in WSN","volume":"12","author":"O. 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