{"id":"https://openalex.org/W4413722331","doi":"https://doi.org/10.61173/p39fad46","title":"Investigation of Rehabilitation Training Research Based on Deep Learning Models","display_name":"Investigation of Rehabilitation Training Research Based on Deep Learning Models","publication_year":2025,"publication_date":"2025-08-26","ids":{"openalex":"https://openalex.org/W4413722331","doi":"https://doi.org/10.61173/p39fad46"},"language":"en","primary_location":{"id":"doi:10.61173/p39fad46","doi":"https://doi.org/10.61173/p39fad46","is_oa":true,"landing_page_url":"https://doi.org/10.61173/p39fad46","pdf_url":"https://lseee.net/index.php/te/article/download/821/TE010322.pdf","source":{"id":"https://openalex.org/S4387291891","display_name":"Science and Technology of Engineering Chemistry and Environmental Protection","issn_l":"2959-6157","issn":["2959-6157","2960-1339"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science and Technology of Engineering, Chemistry and Environmental Protection","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://lseee.net/index.php/te/article/download/821/TE010322.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084459014","display_name":"Hongda Shi","orcid":"https://orcid.org/0009-0005-8295-4864","observed_orcids":["https://orcid.org/0009-0005-8295-4864"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongda Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5084459014"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"4","first_page":"10322","last_page":"10322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.8511000275611877,"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":0.8511000275611877,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.03709999844431877,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13986","display_name":"Medical Practices and Rehabilitation","score":0.017400000244379044,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rehabilitation-training","display_name":"rehabilitation training","score":0.9929999709129333},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.7829999923706055},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9950000047683716},{"id":"https://openalex.org/keywords/hybrid-model","display_name":"hybrid model","score":0.8059999942779541},{"id":"https://openalex.org/keywords/rehabilitation-assessment","display_name":"rehabilitation assessment","score":0.9639999866485596},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"virtual reality","score":0.8899999856948853},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.824999988079071},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.890999972820282},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.906000018119812},{"id":"https://openalex.org/keywords/clinical-application","display_name":"clinical application","score":0.6890000104904175}],"concepts":[{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.5670541524887085},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5008492469787598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46235617995262146},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45719730854034424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44958189129829407},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.42500174045562744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3639817237854004},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.33768904209136963},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1995702087879181},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1355418562889099},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11245760321617126},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.61173/p39fad46","doi":"https://doi.org/10.61173/p39fad46","is_oa":true,"landing_page_url":"https://doi.org/10.61173/p39fad46","pdf_url":"https://lseee.net/index.php/te/article/download/821/TE010322.pdf","source":{"id":"https://openalex.org/S4387291891","display_name":"Science and Technology of Engineering Chemistry and Environmental Protection","issn_l":"2959-6157","issn":["2959-6157","2960-1339"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science and Technology of Engineering, Chemistry and Environmental Protection","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.61173/p39fad46","doi":"https://doi.org/10.61173/p39fad46","is_oa":true,"landing_page_url":"https://doi.org/10.61173/p39fad46","pdf_url":"https://lseee.net/index.php/te/article/download/821/TE010322.pdf","source":{"id":"https://openalex.org/S4387291891","display_name":"Science and Technology of Engineering Chemistry and Environmental Protection","issn_l":"2959-6157","issn":["2959-6157","2960-1339"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science and Technology of Engineering, Chemistry and Environmental Protection","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.504800021648407,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413722331.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2907773844","https://openalex.org/W2914598080","https://openalex.org/W2948069880","https://openalex.org/W3034368386","https://openalex.org/W3082648061","https://openalex.org/W3211758186","https://openalex.org/W4200263919","https://openalex.org/W4391647110","https://openalex.org/W4396782871","https://openalex.org/W4404108134","https://openalex.org/W4408017252"],"related_works":["https://openalex.org/W4406771479","https://openalex.org/W4401225281","https://openalex.org/W4412032676","https://openalex.org/W7154612191","https://openalex.org/W6901439537","https://openalex.org/W7081564822","https://openalex.org/W4399186960","https://openalex.org/W4293863381","https://openalex.org/W4377027738","https://openalex.org/W7220732308"],"abstract_inverted_index":{"The":[0,38],"paper":[1,53],"will":[2],"survey":[3],"the":[4,8,15,18,56,73,87,113,116,135,143],"current":[5,90],"status":[6],"of":[7,17,36,40,59,101,118],"Deep":[9],"Learning":[10],"(DL)":[11],"technology":[12],"application":[13,140,155],"and":[14,32,64,103,105,134,156],"trend":[16],"rehabilitation":[19,69,77,144],"training":[20],"development.":[21],"Rehabilitation":[22],"treatment":[23],"aims":[24],"to":[25,111,121],"help":[26],"patients":[27],"regain":[28],"their":[29,34],"physical":[30],"function":[31],"improve":[33],"quality":[35],"life.":[37],"introduction":[39,117],"artificial":[41],"intelligence,":[42],"especially":[43],"deep":[44,138],"learning,":[45],"provides":[46],"new":[47],"technical":[48],"support":[49],"for":[50],"it.":[51],"This":[52],"focuses":[54],"on":[55],"typical":[57],"applications":[58],"Convolutional":[60],"Neural":[61],"Network":[62],"(CNN)":[63],"its":[65,153],"hybrid":[66],"model":[67,98,107],"in":[68,142],"training.":[70],"It":[71],"covers":[72],"body":[74],"movement":[75],"identification,":[76],"assessment,":[78],"such":[79,95,125],"as":[80,96,126],"virtual":[81],"reality":[82],"interactive":[83],"multiple":[84],"dimensions.":[85],"In":[86,109],"discussion":[88],"section,":[89],"challenges":[91],"are":[92],"pointed":[93],"out,":[94],"poor":[97],"interpretability,":[99],"lack":[100],"generality":[102],"adaptability,":[104],"excessive":[106],"size.":[108],"order":[110],"solve":[112],"above":[114],"problems,":[115],"domain":[119,129],"experts":[120],"guide":[122],"optimization":[123],"strategies,":[124],"distillation":[127],"using":[128],"adaptive":[130],"methods":[131],"is":[132],"proposed":[133],"knowledge.":[136],"Think":[137],"learning":[139],"prospect":[141],"training,":[145],"but":[146],"still":[147],"needs":[148],"a":[149],"multidisciplinary":[150],"collaborative":[151],"promote":[152],"clinical":[154],"promotion.":[157]},"counts_by_year":[],"updated_date":"2026-10-20T09:52:01.089006","created_date":"2025-10-10T00:00:00"}