{"id":"https://openalex.org/W4226394120","doi":"https://doi.org/10.1109/tim.2022.3169751","title":"A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals","display_name":"A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226394120","doi":"https://doi.org/10.1109/tim.2022.3169751"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3169751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3169751","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"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/A5058659212","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-4525-0017"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4525-0017","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001392803","display_name":"Shurun Wang","orcid":"https://orcid.org/0000-0001-7611-5718"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shurun Wang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-7611-5718","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026734323","display_name":"Qi Tan","orcid":"https://orcid.org/0000-0003-3282-7291"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-3282-7291","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372332","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-0387-557X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0387-557X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.4905,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56860929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"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":0.9980999827384949,"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":0.9969000220298767,"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/sample-entropy","display_name":"Sample entropy","score":0.7882213592529297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576794981956482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763601064682007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5714693069458008},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5477508902549744},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5477085709571838},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.49412301182746887},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.48733338713645935},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45717814564704895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4417515695095062}],"concepts":[{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.7882213592529297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576794981956482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763601064682007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5714693069458008},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5477508902549744},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5477085709571838},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.49412301182746887},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.48733338713645935},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45717814564704895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4417515695095062},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3169751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3169751","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G901434319","display_name":null,"funder_award_id":"2017YFE0129700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1630124393","https://openalex.org/W1862394037","https://openalex.org/W1900892513","https://openalex.org/W2014538668","https://openalex.org/W2041282815","https://openalex.org/W2048062613","https://openalex.org/W2059851411","https://openalex.org/W2060252811","https://openalex.org/W2065327112","https://openalex.org/W2074189988","https://openalex.org/W2332391738","https://openalex.org/W2751404845","https://openalex.org/W2781828337","https://openalex.org/W2802990090","https://openalex.org/W2904481607","https://openalex.org/W2912355701","https://openalex.org/W2927869096","https://openalex.org/W2968914909","https://openalex.org/W2971499831","https://openalex.org/W2972310890","https://openalex.org/W2983827168","https://openalex.org/W2993773149","https://openalex.org/W2998591503","https://openalex.org/W3004338393","https://openalex.org/W3009489684","https://openalex.org/W3017321111","https://openalex.org/W3023805925","https://openalex.org/W3035097055","https://openalex.org/W3047436234","https://openalex.org/W3118072333","https://openalex.org/W3119890727","https://openalex.org/W3134609090","https://openalex.org/W3135766927","https://openalex.org/W3136218483","https://openalex.org/W3176976794","https://openalex.org/W3214579422","https://openalex.org/W4229977739","https://openalex.org/W4238806952","https://openalex.org/W6773243976"],"related_works":["https://openalex.org/W2099197004","https://openalex.org/W1862394037","https://openalex.org/W2076258781","https://openalex.org/W2165375209","https://openalex.org/W2050076996","https://openalex.org/W2126734586","https://openalex.org/W2001916773","https://openalex.org/W2115218383","https://openalex.org/W2523271418","https://openalex.org/W2291058995"],"abstract_inverted_index":{"The":[0,103],"detection":[1,101],"of":[2,7,13,30,35,48,59,118,122,143],"muscle":[3,182],"activation":[4,183],"intervals":[5],"is":[6,37,52],"great":[8],"significance":[9],"to":[10,80,95,124],"the":[11,27,45,49,57,66,81,97,119,126,137,140,159,176],"application":[12],"gait,":[14],"gesture,":[15],"and":[16,61,78,99,110,113,132,149,154,163,169],"some":[17],"other":[18,82],"biomedical":[19],"movements.":[20],"Surface":[21],"electromyographic":[22],"(sEMG)":[23],"signal":[24,36,51,68,128],"can":[25,115,179],"record":[26],"electrical":[28],"activity":[29],"muscles":[31],"effectively.":[32],"This":[33],"kind":[34],"sometimes,":[38],"however,":[39],"corrupted":[40],"by":[41],"background":[42],"noises.":[43],"Traditionally,":[44],"amplitude":[46],"analysis":[47],"sEMG":[50,67,127],"an":[53,90],"alternative":[54],"approach":[55],"for":[56,147],"identification":[58],"onsets":[60,98,148],"offsets.":[62],"In":[63],"this":[64],"work,":[65],"was":[69,93,106],"analyzed":[70],"using":[71,136],"global-based":[72],"rapid":[73],"composite":[74],"multiscale":[75],"sample":[76],"entropy":[77,123],"compared":[79],"popular":[83],"algorithms.":[84],"A":[85],"double":[86],"threshold":[87],"method":[88,178],"with":[89],"interlocking":[91],"structure":[92],"applied":[94],"complete":[96],"offsets":[100,150],"task.":[102],"proposed":[104,138,177],"algorithm":[105],"tested":[107],"in":[108],"semisynthetic":[109],"recorded":[111],"signals,":[112],"it":[114],"take":[116],"advantage":[117],"nonlinear":[120],"properties":[121],"distinguish":[125],"from":[129],"motion":[130],"artifacts":[131],"tonic":[133],"spikes.":[134],"By":[135],"algorithm,":[139],"median":[141],"values":[142],"absolute":[144],"error":[145],"time":[146],"estimation":[151],"were":[152,166],"32":[153],"60":[155],"ms,":[156],"respectively.":[157,171],"Meanwhile,":[158],"accuracy,":[160],"false-alarm":[161],"rate,":[162],"missing-alarm":[164],"rate":[165],"86.1%,":[167],"5.7%,":[168],"9.7%,":[170],"Our":[172],"findings":[173],"suggest":[174],"that":[175],"effectively":[180],"detect":[181],"intervals.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}