{"id":"https://openalex.org/W4353090250","doi":"https://doi.org/10.3390/s23063331","title":"EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network","display_name":"EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network","publication_year":2023,"publication_date":"2023-03-22","ids":{"openalex":"https://openalex.org/W4353090250","doi":"https://doi.org/10.3390/s23063331","pmid":"https://pubmed.ncbi.nlm.nih.gov/36992041"},"language":"en","primary_location":{"id":"doi:10.3390/s23063331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063331","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3331/pdf?version=1679468492","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/6/3331/pdf?version=1679468492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021558397","display_name":"Minh Tat Nhat Truong","orcid":"https://orcid.org/0000-0003-4571-1984"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minh Tat Nhat Truong","raw_affiliation_strings":["Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4571-1984","affiliations":[{"raw_affiliation_string":"Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044118593","display_name":"Amged Elsheikh Abdelgadir Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Amged Elsheikh Abdelgadir Ali","raw_affiliation_strings":["Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072945772","display_name":"Dai Owaki","orcid":"https://orcid.org/0000-0003-1217-3892"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dai Owaki","raw_affiliation_strings":["Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1217-3892","affiliations":[{"raw_affiliation_string":"Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060102825","display_name":"Mitsuhiro Hayashibe","orcid":"https://orcid.org/0000-0001-6179-5706"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mitsuhiro Hayashibe","raw_affiliation_strings":["Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neuro-Robotics Lab, Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044118593","https://openalex.org/A5060102825"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":3.0765,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92513359,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"6","first_page":"3331","last_page":"3331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10157","display_name":"Sports Performance and Training","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7267010807991028},{"id":"https://openalex.org/keywords/inverse-dynamics","display_name":"Inverse dynamics","score":0.7048476934432983},{"id":"https://openalex.org/keywords/ankle","display_name":"Ankle","score":0.6243168115615845},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.6224136352539062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5496625900268555},{"id":"https://openalex.org/keywords/ground-reaction-force","display_name":"Ground reaction force","score":0.5142926573753357},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4828386902809143},{"id":"https://openalex.org/keywords/biomechanics","display_name":"Biomechanics","score":0.448227196931839},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.44587329030036926},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4390895962715149},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.42893102765083313},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4269734025001526},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3947526812553406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38851630687713623},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.38719332218170166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34049955010414124},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.18591243028640747},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1787623167037964},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15427854657173157},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.1185762882232666},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.11376160383224487},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09651410579681396}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7267010807991028},{"id":"https://openalex.org/C187523126","wikidata":"https://www.wikidata.org/wiki/Q17098330","display_name":"Inverse dynamics","level":3,"score":0.7048476934432983},{"id":"https://openalex.org/C2778640784","wikidata":"https://www.wikidata.org/wiki/Q168002","display_name":"Ankle","level":2,"score":0.6243168115615845},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.6224136352539062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5496625900268555},{"id":"https://openalex.org/C96332660","wikidata":"https://www.wikidata.org/wiki/Q5610971","display_name":"Ground reaction force","level":3,"score":0.5142926573753357},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4828386902809143},{"id":"https://openalex.org/C170700871","wikidata":"https://www.wikidata.org/wiki/Q193378","display_name":"Biomechanics","level":2,"score":0.448227196931839},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.44587329030036926},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4390895962715149},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.42893102765083313},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4269734025001526},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3947526812553406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38851630687713623},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.38719332218170166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34049955010414124},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.18591243028640747},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1787623167037964},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15427854657173157},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.1185762882232666},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.11376160383224487},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09651410579681396},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009132","descriptor_name":"Muscles","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009132","descriptor_name":"Muscles","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009132","descriptor_name":"Muscles","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009132","descriptor_name":"Muscles","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009132","descriptor_name":"Muscles","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23063331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063331","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3331/pdf?version=1679468492","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36992041","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36992041","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10058035","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10058035","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10058035/pdf/sensors-23-03331.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a103cada620f47aba3d7e504380f6859","is_oa":true,"landing_page_url":"https://doaj.org/article/a103cada620f47aba3d7e504380f6859","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 6, p 3331 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/6/3331/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23063331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 6; Pages: 3331","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23063331","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063331","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3331/pdf?version=1679468492","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5892974444","display_name":null,"funder_award_id":"JP20KK0256","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6772449340","display_name":"Bayesian Model-based Rehabilitation","funder_award_id":"20H04260","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4353090250.pdf","grobid_xml":"https://content.openalex.org/works/W4353090250.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1565140245","https://openalex.org/W1735317348","https://openalex.org/W1959983357","https://openalex.org/W2002357899","https://openalex.org/W2002476628","https://openalex.org/W2004158418","https://openalex.org/W2024075334","https://openalex.org/W2053438251","https://openalex.org/W2070710655","https://openalex.org/W2104951430","https://openalex.org/W2112802476","https://openalex.org/W2115455197","https://openalex.org/W2121553911","https://openalex.org/W2130281033","https://openalex.org/W2134490360","https://openalex.org/W2136848157","https://openalex.org/W2143503258","https://openalex.org/W2168162876","https://openalex.org/W2209690788","https://openalex.org/W2516710120","https://openalex.org/W2606862842","https://openalex.org/W2612974132","https://openalex.org/W2747523765","https://openalex.org/W2799381271","https://openalex.org/W2884696611","https://openalex.org/W2887224044","https://openalex.org/W2973917137","https://openalex.org/W2977419794","https://openalex.org/W2997166083","https://openalex.org/W3090200077","https://openalex.org/W3105175154","https://openalex.org/W4214818191","https://openalex.org/W4221024954","https://openalex.org/W4224315730","https://openalex.org/W4226013335","https://openalex.org/W4321498002","https://openalex.org/W6771747690"],"related_works":["https://openalex.org/W2611757813","https://openalex.org/W2144754326","https://openalex.org/W2066291330","https://openalex.org/W2526279871","https://openalex.org/W3009794104","https://openalex.org/W2231899242","https://openalex.org/W4285071043","https://openalex.org/W4387399000","https://openalex.org/W2265255950","https://openalex.org/W2198692434"],"abstract_inverted_index":{"One":[0],"of":[1,45,63,98,201],"the":[2,21,46,51,58,76,116,120,125,130,147,167,173,199,202,227],"fundamental":[3],"limitations":[4],"in":[5,115,137],"human":[6,64,133],"biomechanics":[7],"is":[8,27,230],"that":[9],"we":[10],"cannot":[11],"directly":[12],"obtain":[13],"joint":[14,148,203],"moments":[15],"during":[16],"natural":[17],"movements":[18],"without":[19,71,217],"affecting":[20],"motion.":[22],"However,":[23],"estimating":[24],"these":[25],"values":[26],"feasible":[28],"with":[29,179],"inverse":[30],"dynamics":[31],"computation":[32],"by":[33],"employing":[34],"external":[35],"force":[36,73,131,219],"plates,":[37,132],"which":[38,146],"can":[39],"cover":[40],"only":[41],"a":[42,91,138,222],"small":[43],"area":[44],"plate.":[47],"This":[48],"work":[49],"investigated":[50],"Long":[52],"Short-Term":[53],"Memory":[54],"(LSTM)":[55],"network":[56],"for":[57,112,165,213],"kinetics":[59,151],"and":[60,106,129,150,154,157,192,205,221],"kinematics":[61,149],"prediction":[62],"lower":[65,86],"limbs":[66],"when":[67],"performing":[68],"different":[69],"activities":[70,216],"using":[72,142,172],"plates":[74,220],"after":[75],"learning.":[77],"We":[78],"measured":[79],"surface":[80],"electromyography":[81],"(sEMG)":[82],"signals":[83,212],"from":[84,95,124,145,152,177],"14":[85],"extremities":[87],"muscles":[88],"to":[89,161],"generate":[90],"112-dimensional":[92],"input":[93],"vector":[94],"three":[96],"sets":[97],"features:":[99],"root":[100],"mean":[101,103],"square,":[102],"absolute":[104],"value,":[105],"sixth-order":[107],"autoregressive":[108],"model":[109,175,229],"coefficient":[110],"parameters":[111],"each":[113],"muscle":[114],"LSTM":[117,174,228],"network.":[118],"With":[119],"recorded":[121],"experimental":[122],"data":[123],"motion":[126,223],"capture":[127,224],"system":[128,225],"motions":[134],"were":[135,159],"reconstructed":[136],"biomechanical":[139],"simulation":[140],"created":[141],"OpenSim":[143],"v4.1,":[144],"left":[153],"right":[155],"knees":[156],"ankles":[158],"retrieved":[160],"serve":[162],"as":[163],"output":[164],"training":[166],"LSTM.":[168],"The":[169],"estimation":[170,207],"results":[171,197],"deviated":[176],"labels":[178],"average":[180],"R2":[181],"scores":[182],"(knee":[183],"angle:":[184,190],"97.25%,":[185],"knee":[186],"moment:":[187,194],"94.9%,":[188],"ankle":[189,193],"91.44%,":[191],"85.44%).":[195],"These":[196],"demonstrate":[198],"feasibility":[200],"angle":[204],"moment":[206],"based":[208],"solely":[209],"on":[210],"sEMG":[211],"multiple":[214],"daily":[215],"requiring":[218],"once":[226],"trained.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
