{"id":"https://openalex.org/W4394596158","doi":"https://doi.org/10.1109/tim.2024.3384565","title":"TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction","display_name":"TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4394596158","doi":"https://doi.org/10.1109/tim.2024.3384565"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3384565","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101828154","display_name":"Baoping Xiong","orcid":"https://orcid.org/0000-0003-1004-7884"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoping Xiong","raw_affiliation_strings":["Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China","Department of Computer Science and Mathematics, Fujian University of Technology, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Fujian University of Technology, Fujian, China","institution_ids":["https://openalex.org/I83791580"]},{"raw_affiliation_string":"Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102771874","display_name":"Yiran Chang","orcid":"https://orcid.org/0000-0002-3063-8289"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Chang","raw_affiliation_strings":["Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025693167","display_name":"Nianyin Zeng","orcid":"https://orcid.org/0000-0002-6957-2942"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianyin Zeng","raw_affiliation_strings":["Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046184583","display_name":"Yinxi Niu","orcid":"https://orcid.org/0009-0002-6898-0837"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinxi Niu","raw_affiliation_strings":["Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030004248","display_name":"Hui Zeng","orcid":"https://orcid.org/0000-0002-2714-1028"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zeng","raw_affiliation_strings":["Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452614","display_name":"Han Li","orcid":"https://orcid.org/0000-0003-0276-9756"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Li","raw_affiliation_strings":["Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031838724","display_name":"Guojun Mao","orcid":"https://orcid.org/0000-0002-5068-6181"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojun Mao","raw_affiliation_strings":["Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China","Department of Computer Science and Mathematics, Fujian University of Technology, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Fujian University of Technology, Fujian, China","institution_ids":["https://openalex.org/I83791580"]},{"raw_affiliation_string":"Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036411139","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-6520-8572"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China","Department of Computer Science and Mathematics, Fujian University of Technology, Fujian, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Fujian University of Technology, Fujian, China","institution_ids":["https://openalex.org/I83791580"]},{"raw_affiliation_string":"Department of Computer Science and Mathematics and Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.606,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99998,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":84,"max":92},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11218","display_name":"Hip disorders and treatments","score":0.9597,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11218","display_name":"Hip disorders and treatments","score":0.9597,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9487,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.664464},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.63140476},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.56390643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5400847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24132016},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.19855797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1465182},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3384565","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.42}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"62073271"},{"funder":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province","award_id":"2020J01891"},{"funder":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province","award_id":"2020J01890"}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1551060558","https://openalex.org/W1973962744","https://openalex.org/W2009195829","https://openalex.org/W2014830142","https://openalex.org/W2016284881","https://openalex.org/W2039041360","https://openalex.org/W2039846442","https://openalex.org/W2064675550","https://openalex.org/W2071529525","https://openalex.org/W2082567977","https://openalex.org/W2086103016","https://openalex.org/W2115101746","https://openalex.org/W2130281033","https://openalex.org/W2467301443","https://openalex.org/W2516465574","https://openalex.org/W2734878628","https://openalex.org/W2752782242","https://openalex.org/W2792764867","https://openalex.org/W2798257081","https://openalex.org/W2917733937","https://openalex.org/W2942766443","https://openalex.org/W2971316385","https://openalex.org/W2995691779","https://openalex.org/W3037654363","https://openalex.org/W3105175154","https://openalex.org/W3107328949","https://openalex.org/W3110798988","https://openalex.org/W3130807160","https://openalex.org/W3156458605","https://openalex.org/W3174349150","https://openalex.org/W3175585004","https://openalex.org/W4206978223","https://openalex.org/W4225788924","https://openalex.org/W4226013335","https://openalex.org/W4226042781","https://openalex.org/W4226057523","https://openalex.org/W4226323318","https://openalex.org/W4323569095","https://openalex.org/W4361801851","https://openalex.org/W4386827701","https://openalex.org/W4388037816"],"related_works":["https://openalex.org/W4391913857","https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2478288626","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2350741829","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Estimating":[0],"joint":[1,35,76,162,212],"moment":[2,36,143,213],"using":[3],"surface":[4],"electromyography":[5],"(sEMG)":[6],"signals":[7],"is":[8,31],"vital":[9],"in":[10,34,184],"industrial":[11],"and":[12,98,119,132,140,169,180,191,214],"rehabilitation":[13],"area.":[14],"Current":[15],"prediction":[16,149,218],"methods":[17],"mostly":[18],"focused":[19],"on":[20,75,106,115],"extracting":[21],"single-scale":[22],"temporal":[23,86,97],"features.":[24,87],"However,":[25],"the":[26,61,66,81,91,127,138,148,153,156,174,210],"spatial":[27,62,99],"information":[28],"between":[29,137],"channels":[30,74],"also":[32,176],"essential":[33],"estimation.":[37],"Therefore,":[38],"we":[39,89],"introduced":[40],"a":[41,199,216],"trans-scale":[42,157],"hybrid":[43,158],"(TranSEMG)":[44],"model":[45,103,159,175,201],"which":[46,58],"has":[47,177],"two":[48],"streams.":[49],"The":[50,102,121],"Spatial-Feature-Net":[51],"module":[52,83,94],"was":[53,104],"designed":[54,92],"for":[55,96,135],"one":[56],"stream,":[57],"can":[59,160],"extract":[60],"features":[63,100,205],"according":[64],"to":[65,72,84,146,202,208],"different":[67,73],"effects":[68],"of":[69,129],"muscles":[70],"corresponding":[71],"moment.":[77],"Another":[78],"stream":[79],"used":[80,145],"TCN":[82],"learn":[85],"Then":[88],"utilized":[90],"fusion":[93],"(FM)":[95],"fusion.":[101],"tested":[105],"experimental":[107],"data":[108],"collected":[109],"from":[110,206],"nine":[111],"healthy":[112],"subjects":[113],"walking":[114,186],"treadmill,":[116],"level":[117,192],"ground":[118],"ramp.":[120],"root":[122],"mean":[123],"square":[124],"error":[125],"(RMSE),":[126],"coefficient":[128],"determination":[130],"(R2)":[131],"variance":[133],"accounted":[134],"(VAF)":[136],"predicted":[139],"inverse":[141],"dynamics":[142],"are":[144],"evaluate":[147],"accuracy.":[150,219],"Compared":[151],"with":[152,164],"state-of-the-art":[154],"models,":[155],"predict":[161,209],"moments":[163],"lower":[165],"RMSE,":[166],"higher":[167,170],"R2":[168],"VAF":[171],"values.":[172],"Furthermore,":[173],"good":[178,182,217],"versatility":[179],"showed":[181],"performance":[183],"other":[185],"environments,":[187],"such":[188],"as":[189],"ramp":[190],"ground.":[193],"In":[194],"conclusion,":[195],"this":[196],"study":[197],"provided":[198],"new":[200],"get":[203],"more":[204],"sequences":[207],"hip":[211],"achieved":[215]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4394596158","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-04T13:24:56.566026","created_date":"2024-04-10"}