{"id":"https://openalex.org/W4382751315","doi":"https://doi.org/10.1109/access.2023.3291108","title":"An Improved Feature Extraction Method for Surface Electromyography Based on Muscle Activity Regions","display_name":"An Improved Feature Extraction Method for Surface Electromyography Based on Muscle Activity Regions","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382751315","doi":"https://doi.org/10.1109/access.2023.3291108"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3291108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291108","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168895.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168895.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101767227","display_name":"Luyao Ma","orcid":"https://orcid.org/0009-0002-2961-2644"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Ma","raw_affiliation_strings":["School of Mechanical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0009-0002-2961-2644","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707867","display_name":"Qing Tao","orcid":"https://orcid.org/0000-0001-5798-6526"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Tao","raw_affiliation_strings":["School of Mechanical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0001-5798-6526","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060791386","display_name":"Qingzheng Chen","orcid":"https://orcid.org/0000-0002-0939-7513"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzheng Chen","raw_affiliation_strings":["School of Mechanical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102965718","display_name":"Zirui Zhao","orcid":"https://orcid.org/0009-0004-8514-072X"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":1950,"currency":"USD","value_usd":1950},"apc_paid":{"value":1950,"currency":"USD","value_usd":1950},"fwci":0.6423,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60654322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"68410","last_page":"68420"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9972000122070312,"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":0.9764999747276306,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7666635513305664},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.7394832372665405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7374284267425537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7209457755088806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7193903923034668},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5289259552955627},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.42669039964675903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3868720233440399},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.05876585841178894}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7666635513305664},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.7394832372665405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7374284267425537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7209457755088806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193903923034668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5289259552955627},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42669039964675903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3868720233440399},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.05876585841178894},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/access.2023.3291108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291108","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168895.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b843ad6bd0be4347b4902c8c75eb42c6","is_oa":true,"landing_page_url":"https://doaj.org/article/b843ad6bd0be4347b4902c8c75eb42c6","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":"IEEE Access, Vol 11, Pp 68410-68420 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3291108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291108","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10168895.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G326191457","display_name":null,"funder_award_id":"2020E0259","funder_id":"https://openalex.org/F4320334063","funder_display_name":"National Natural Science Foundation of China-Xinjiang Joint Fund"},{"id":"https://openalex.org/G6417254698","display_name":"\u4e0a\u80a2\u795e\u7ecf\u5eb7\u590d\u673a\u5668\u4eba\u7684\u8fd0\u52a8\u6a21\u5f0f\u53c2\u6570\u5316\u8868\u5f81\u65b9\u6cd5\u4e0e\u4eba\u673a\u534f\u540c\u673a\u5236\u7684\u7814\u7a76","funder_award_id":"51865056","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/F4320334063","display_name":"National Natural Science Foundation of China-Xinjiang Joint Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382751315.pdf","grobid_xml":"https://content.openalex.org/works/W4382751315.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2021864005","https://openalex.org/W2038925006","https://openalex.org/W2044628302","https://openalex.org/W2066519883","https://openalex.org/W2067226842","https://openalex.org/W2070054839","https://openalex.org/W2070825536","https://openalex.org/W2106951868","https://openalex.org/W2144910137","https://openalex.org/W2167221577","https://openalex.org/W2264375215","https://openalex.org/W2295033670","https://openalex.org/W2471049316","https://openalex.org/W2509527285","https://openalex.org/W2587122088","https://openalex.org/W2767446000","https://openalex.org/W2794271656","https://openalex.org/W2799981557","https://openalex.org/W2807655049","https://openalex.org/W2901258812","https://openalex.org/W2914308566","https://openalex.org/W2921850736","https://openalex.org/W2950772912","https://openalex.org/W2965160935","https://openalex.org/W3003471954","https://openalex.org/W3007001007","https://openalex.org/W3008514739","https://openalex.org/W3025787433","https://openalex.org/W3088004292","https://openalex.org/W3156325985","https://openalex.org/W4210714992","https://openalex.org/W4229040270"],"related_works":["https://openalex.org/W2358868262","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746"],"abstract_inverted_index":{"In":[0,68,208],"the":[1,7,15,47,55,59,63,71,94,99,109,120,130,134,143,148,151,166,172,177,186,201,212,215,220,224,235],"analysis":[2],"of":[3,9,14,23,42,49,58,65,74,93,123,150,162,176,205,237],"surface":[4],"electromyography":[5],"signals(sEMG),":[6],"extraction":[8,33,203,232],"suitable":[10],"features":[11,61,95,132,145,181],"is":[12,26],"one":[13],"key":[16],"factors":[17],"affecting":[18],"pattern":[19],"recognition.":[20],"The":[21,40,90,126,139],"aim":[22],"this":[24,69],"paper":[25,127],"to":[27,165,222],"propose":[28],"an":[29],"improved":[30],"sEMG":[31,72,206],"feature":[32,202,217,231],"algorithm":[34],"based":[35,184],"on":[36,46,185],"muscle":[37,43,50,113,194],"activity":[38,44,51],"regions.":[39,195],"fusion":[41],"intensity":[45,116],"basis":[48],"regions":[52],"compensates":[53],"for":[54,62,200,234],"low":[56],"accuracy":[57,122,161],"original":[60],"recognition":[64],"similar":[66,82,124],"movements.":[67,125],"paper,":[70],"signals":[73,240],"five":[75],"leg":[76],"movements":[77],"were":[78],"collected,":[79],"including":[80],"two":[81],"movements:":[83],"upstairs":[84],"and":[85,88,97,115,192,243],"downstairs,":[86],"standing":[87],"sitting.":[89],"classification":[91,121,137,152,160],"performance":[92],"before":[96],"after":[98],"improvement":[100],"was":[101],"tested":[102],"with":[103,133,154,211],"six":[104],"classifiers.":[105],"It":[106],"proves":[107],"that":[108,142],"new":[110,131,144,178,198,216],"characteristic,":[111],"active":[112,193],"position":[114],"(AMPI),":[117],"greatly":[118],"improves":[119],"also":[128],"compares":[129],"traditional":[135,213],"eight":[136],"features.":[138,169,179],"results":[140],"show":[141],"are":[146,182],"at":[147],"forefront":[149],"performance,":[153],"a":[155,228],"very":[156],"small":[157],"difference":[158],"in":[159],"4.1%":[163],"compared":[164,210],"best":[167],"performing":[168],"This":[170,196],"confirms":[171],"high":[173],"practical":[174],"value":[175],"New":[180],"still":[183,218],"mapping":[187],"relationship":[188],"between":[189],"movement":[190],"patterns":[191],"provides":[197,227],"ideas":[199],"method":[204,233],"signals.":[207],"addition,":[209],"features,":[214],"have":[219],"ability":[221],"reduce":[223],"dimension,":[225],"which":[226],"more":[229],"applicable":[230],"application":[236],"multi-channel":[238],"electromyogram(EMG)":[239],"acquisition":[241],"devices":[242],"high-density":[244],"electrodes.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}