{"id":"https://openalex.org/W3187576114","doi":"https://doi.org/10.1109/lra.2021.3097272","title":"A Bi-Directional LSTM Network for Estimating Continuous Upper Limb Movement From Surface Electromyography","display_name":"A Bi-Directional LSTM Network for Estimating Continuous Upper Limb Movement From Surface Electromyography","publication_year":2021,"publication_date":"2021-07-29","ids":{"openalex":"https://openalex.org/W3187576114","doi":"https://doi.org/10.1109/lra.2021.3097272","mag":"3187576114"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3097272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3097272","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/76074/2/Greenwald%20A%20Bi-Directional%20LSTM%20Network%20for%20Estimating%20Continuous%20Upper%20Limb%20Movement%20from%20Surface%20Electromyography%202021%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075122267","display_name":"Chenfei Ma","orcid":"https://orcid.org/0000-0003-3136-0765"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenfei Ma","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0003-3136-0765","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443727","display_name":"Chuang Lin","orcid":"https://orcid.org/0000-0002-3496-177X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Lin","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3496-177X","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042592657","display_name":"Oluwarotimi Williams Samuel","orcid":"https://orcid.org/0000-0003-1945-1402"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Oluwarotimi Williams Samuel","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1945-1402","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038164924","display_name":"Weiyu Guo","orcid":"https://orcid.org/0000-0003-3021-8628"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Guo","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438441","display_name":"Hang Zhang","orcid":"https://orcid.org/0000-0001-9196-0426"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zhang","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069275377","display_name":"Stephen E. Greenwald","orcid":"https://orcid.org/0000-0002-8471-7070"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Greenwald","raw_affiliation_strings":["Queen Mary University of London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8471-7070","affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091579982","display_name":"Lisheng Xu","orcid":"https://orcid.org/0000-0001-8360-3605"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisheng Xu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0000-0001-8360-3605","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636088","display_name":"Guanglin Li","orcid":"https://orcid.org/0000-0001-9016-2617"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglin Li","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9016-2617","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Chinese Academy of Sciences (CAS), and the SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.886,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.9440069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"6","issue":"4","first_page":"7217","last_page":"7224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991000294685364,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799620389938354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6242827773094177},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5698128938674927},{"id":"https://openalex.org/keywords/elbow","display_name":"Elbow","score":0.519679605960846},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.50836580991745},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.48984667658805847},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47008609771728516},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.4542137384414673},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4470594823360443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4158935546875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3436232805252075},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.1399441361427307},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.10794484615325928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799620389938354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6242827773094177},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5698128938674927},{"id":"https://openalex.org/C2781184374","wikidata":"https://www.wikidata.org/wiki/Q42586","display_name":"Elbow","level":2,"score":0.519679605960846},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.50836580991745},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.48984667658805847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47008609771728516},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.4542137384414673},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4470594823360443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4158935546875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3436232805252075},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.1399441361427307},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.10794484615325928},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","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":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lra.2021.3097272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3097272","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/76074","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/76074","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/76074/2/Greenwald%20A%20Bi-Directional%20LSTM%20Network%20for%20Estimating%20Continuous%20Upper%20Limb%20Movement%20from%20Surface%20Electromyography%202021%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/76074","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/76074","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/76074/2/Greenwald%20A%20Bi-Directional%20LSTM%20Network%20for%20Estimating%20Continuous%20Upper%20Limb%20Movement%20from%20Surface%20Electromyography%202021%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1432229094","display_name":null,"funder_award_id":"U1913601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1503634900","display_name":null,"funder_award_id":"#N2119008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1527787953","display_name":null,"funder_award_id":"N181906001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2557913541","display_name":null,"funder_award_id":"#61773110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2868317150","display_name":null,"funder_award_id":"#82050410452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4330400982","display_name":null,"funder_award_id":"#N181906001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4506064492","display_name":null,"funder_award_id":"61773110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4907746466","display_name":null,"funder_award_id":"#U1913601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5208492351","display_name":null,"funder_award_id":"81927804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5418602724","display_name":null,"funder_award_id":"#U1613222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5735957499","display_name":null,"funder_award_id":"JCYJ20170413152804728","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6197209754","display_name":null,"funder_award_id":"JCYJ20180507182508857","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6670097970","display_name":null,"funder_award_id":"JCYJ20180507182508857","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7521854616","display_name":null,"funder_award_id":"U1613222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7955476428","display_name":null,"funder_award_id":"81850410557","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G817567435","display_name":null,"funder_award_id":"#81927804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G837618973","display_name":null,"funder_award_id":"82050410452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8719891868","display_name":null,"funder_award_id":"JCYJ20170413152804728","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8934082025","display_name":null,"funder_award_id":"#81850410557","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3187576114.pdf","grobid_xml":"https://content.openalex.org/works/W3187576114.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1482575233","https://openalex.org/W1566256432","https://openalex.org/W1963685646","https://openalex.org/W1964025242","https://openalex.org/W1977177161","https://openalex.org/W1979713783","https://openalex.org/W2005708641","https://openalex.org/W2039240409","https://openalex.org/W2064675550","https://openalex.org/W2066327120","https://openalex.org/W2079735306","https://openalex.org/W2092102206","https://openalex.org/W2095705004","https://openalex.org/W2097292795","https://openalex.org/W2129308247","https://openalex.org/W2136848157","https://openalex.org/W2137983211","https://openalex.org/W2143612262","https://openalex.org/W2150333870","https://openalex.org/W2163605009","https://openalex.org/W2268708260","https://openalex.org/W2292896937","https://openalex.org/W2411306069","https://openalex.org/W2492321427","https://openalex.org/W2556605533","https://openalex.org/W2561907433","https://openalex.org/W2594138270","https://openalex.org/W2602156528","https://openalex.org/W2761434131","https://openalex.org/W2766242384","https://openalex.org/W2789440573","https://openalex.org/W2796589614","https://openalex.org/W3012425893","https://openalex.org/W3041675192","https://openalex.org/W3122176256","https://openalex.org/W3146803896","https://openalex.org/W3164569956","https://openalex.org/W6633947590","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6693839119","https://openalex.org/W6696955338","https://openalex.org/W6714895015"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2609289561","https://openalex.org/W2911808920","https://openalex.org/W2364463730","https://openalex.org/W2141253262","https://openalex.org/W3156756500","https://openalex.org/W4251090744","https://openalex.org/W2299750892","https://openalex.org/W2386293158","https://openalex.org/W2433638048"],"abstract_inverted_index":{"In":[0,68],"human-machine":[1],"interaction":[2],"systems,":[3],"continuous":[4],"movement":[5,73],"estimation":[6,118],"methods":[7,102],"occupy":[8],"an":[9],"important":[10],"position":[11,24],"because":[12],"they":[13],"are":[14],"more":[15,131],"natural":[16],"and":[17,30,43,65,128,152,167,196],"intuitive":[18],"than":[19,98],"pattern-recognition":[20],"methods.":[21],"Essentially,":[22],"arm":[23,106],"is":[25,82],"decided":[26],"by":[27],"the":[28,35,41,60,80,110,114,140,165,176,188,193],"shoulder":[29,42],"elbow":[31,44],"joint":[32,66,86,169],"angles.":[33,67],"However,":[34],"various":[36],"deformations":[37],"of":[38,57,126,134,139,178],"muscles":[39],"around":[40],"often":[45],"lead":[46],"to":[47,70,103,122,129,174],"difficulties":[48],"in":[49,54,77],"sensor":[50],"fixation,":[51],"which":[52],"results":[53,185],"a":[55,90,124,153],"loss":[56,133],"synchronization":[58,135],"between":[59,164],"surface":[61],"electromyography":[62],"(sEMG)":[63],"signals":[64],"order":[69],"accurately":[71],"estimate":[72,104],"angles":[74],"using":[75],"sEMG":[76,81,111],"situations":[78],"where":[79],"not":[83],"synchronized":[84],"with":[85,144,200],"angles,":[87],"we":[88],"utilized":[89],"bi-directional":[91],"long":[92,154],"short-term":[93,155],"memory":[94,156],"(Bi-LSTM)":[95],"network":[96,157],"rather":[97],"other":[99],"deep":[100],"learning":[101],"non-dominant":[105],"movements,":[107],"based":[108],"on":[109],"signal":[112],"from":[113],"dominant":[115],"arm.":[116],"This":[117],"protocol":[119],"was":[120,142,172],"designed":[121],"avoid":[123],"multiplicity":[125],"sensors":[127],"simulate":[130],"complicated":[132],"problems).":[136],"The":[137,159,182],"performance":[138,177],"Bi-LSTM":[141,189],"compared":[143],"multilayer":[145],"perceptrons":[146],"(MLPs),":[147],"convolutional":[148],"neural":[149,180],"networks":[150],"(CNNs),":[151],"(LSTM).":[158],"Pearson":[160],"correlation":[161],"coefficient":[162],"(cc)":[163],"estimated":[166],"target":[168],"angle":[170],"sequences":[171],"calculated":[173],"evaluate":[175],"each":[179],"network.":[181],"Wilcoxon":[183],"signed-rank":[184],"showed":[186],"that":[187],"model":[190],"significantly":[191],"outperformed":[192],"MLP,":[194],"CNN,":[195],"LSTM":[197],"models":[198],"(tested":[199],"completely":[201],"untrained":[202],"newly":[203],"recorded":[204],"free":[205],"movements).":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
