{"id":"https://openalex.org/W7124134933","doi":"https://doi.org/10.1145/3777577.3777704","title":"A study on the assessment of rehabilitation movements combining sports medicine using time convolutional neural networks","display_name":"A study on the assessment of rehabilitation movements combining sports medicine using time convolutional neural networks","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7124134933","doi":"https://doi.org/10.1145/3777577.3777704"},"language":null,"primary_location":{"id":"doi:10.1145/3777577.3777704","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777704","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3777577.3777704","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ying Cui","orcid":"https://orcid.org/0009-0002-9025-302X"},"institutions":[{"id":"https://openalex.org/I75920027","display_name":"Shaanxi University of Chinese Medicine","ror":"https://ror.org/021r98132","country_code":"CN","type":"education","lineage":["https://openalex.org/I75920027"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Cui","raw_affiliation_strings":["Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0002-9025-302X","affiliations":[{"raw_affiliation_string":"Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I75920027"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123037426","display_name":"Wenbo Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I75920027","display_name":"Shaanxi University of Chinese Medicine","ror":"https://ror.org/021r98132","country_code":"CN","type":"education","lineage":["https://openalex.org/I75920027"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Xue","raw_affiliation_strings":["Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-5324-905X","affiliations":[{"raw_affiliation_string":"Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I75920027"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123020232","display_name":"Ruize Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I75920027","display_name":"Shaanxi University of Chinese Medicine","ror":"https://ror.org/021r98132","country_code":"CN","type":"education","lineage":["https://openalex.org/I75920027"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruize Wang","raw_affiliation_strings":["Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0005-2203-5196","affiliations":[{"raw_affiliation_string":"Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I75920027"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123044833","display_name":"Pengwu Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I75920027","display_name":"Shaanxi University of Chinese Medicine","ror":"https://ror.org/021r98132","country_code":"CN","type":"education","lineage":["https://openalex.org/I75920027"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengwu Shen","raw_affiliation_strings":["Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0006-4405-1266","affiliations":[{"raw_affiliation_string":"Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I75920027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75920027"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.4223000109195709,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.4223000109195709,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.13459999859333038,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.06639999896287918,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rehabilitation","display_name":"Rehabilitation","score":0.7900999784469604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7132999897003174},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4406999945640564},{"id":"https://openalex.org/keywords/sports-medicine","display_name":"Sports medicine","score":0.43700000643730164},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.40639999508857727},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37389999628067017}],"concepts":[{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.7900999784469604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7132999897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5532000064849854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504999756813049},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.5292999744415283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5241000056266785},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C43893838","wikidata":"https://www.wikidata.org/wiki/Q840545","display_name":"Sports medicine","level":2,"score":0.43700000643730164},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.32120001316070557},{"id":"https://openalex.org/C2991972916","wikidata":"https://www.wikidata.org/wiki/Q5690807","display_name":"Medical assessment","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2720000147819519},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777577.3777704","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777704","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3777577.3777704","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777704","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4404576616","https://openalex.org/W4409157250"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"constructs":[2],"a":[3],"rehabilitation":[4,52,68,128,134,145],"motion":[5,43],"assessment":[6,50,87],"system":[7,59,93],"based":[8,41],"on":[9,42],"time":[10],"convolutional":[11,33],"neural":[12],"networks,":[13],"integrating":[14],"indicators":[15],"from":[16],"both":[17],"medical":[18,149],"and":[19,37,48,85,100,114,139,148],"sports":[20],"science":[21],"perspectives.":[22],"It":[23],"optimizes":[24],"the":[25,58,75,131],"TCN":[26],"network":[27],"parameters,":[28],"such":[29,108],"as":[30,109],"configuring":[31],"1D":[32],"kernels":[34],"(size":[35],"2-3)":[36],"output":[38],"channels":[39],"(32-64)":[40],"pace\u2014to":[44],"achieve":[45],"quantified,":[46],"standardized,":[47],"real-time":[49],"of":[51,133],"motions.":[53],"Experimental":[54],"validation":[55],"shows":[56],"that":[57],"significantly":[60],"outperforms":[61],"traditional":[62],"models":[63],"in":[64,79,98,126],"key":[65],"metrics:":[66],"its":[67,124],"effect":[69],"prediction":[70],"error":[71],"is":[72,120],"only":[73],"8-10%,":[74],"F1":[76],"score":[77],"fluctuation":[78],"cross-device":[80],"testing":[81],"stays":[82],"below":[83],"3.2%,":[84],"single-motion":[86],"takes":[88],"just":[89],"0.42":[90],"seconds.":[91],"The":[92],"also":[94],"demonstrates":[95],"good":[96],"results":[97],"stroke":[99],"orthopedic":[101],"surgery":[102],"rehabilitation.":[103],"Although":[104],"there":[105],"are":[106],"limitations":[107],"high":[110],"data":[111],"labeling":[112],"costs":[113],"insufficient":[115],"model":[116],"interpretability,":[117],"further":[118],"optimization":[119],"expected":[121],"to":[122],"promote":[123],"application":[125],"various":[127],"scenarios,":[129],"driving":[130],"transformation":[132],"medicine":[135],"towards":[136],"\"data-driven\"":[137],"approaches":[138],"providing":[140],"technical":[141],"support":[142],"for":[143],"precise":[144],"combining":[146],"physical":[147],"sciences.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-15T00:00:00"}