{"id":"https://openalex.org/W4387914597","doi":"https://doi.org/10.1109/codit58514.2023.10284062","title":"Assessment of Muscle Fatigue Using Phase Entropy of sEMG Signals During Dynamic Contractions of Biceps Brachii","display_name":"Assessment of Muscle Fatigue Using Phase Entropy of sEMG Signals During Dynamic Contractions of Biceps Brachii","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914597","doi":"https://doi.org/10.1109/codit58514.2023.10284062"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit58514.2023.10284062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-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/A5062750091","display_name":"Sowmya Subramaniam","orcid":"https://orcid.org/0000-0001-5044-3983"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sowmya S","raw_affiliation_strings":["Indian Institute of Technology Madras,Chennai,Tamil Nadu,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Chennai,Tamil Nadu,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022715483","display_name":"Shib Sundar Banerjee","orcid":"https://orcid.org/0000-0002-1648-5597"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shib Sundar Banerjee","raw_affiliation_strings":["Indian Institute of Technology Madras,Chennai,Tamil Nadu,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Chennai,Tamil Nadu,India,600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112768926","display_name":"Ramakrishnan Swaminathan","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Swaminathan","raw_affiliation_strings":["Indian Institute of Technology Madras,Chennai,Tamil Nadu,India,600036"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras,Chennai,Tamil Nadu,India,600036","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062750091"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.1125,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41577682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2253","last_page":"2256"},"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":0.9979000091552734,"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":0.9955999851226807,"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/biceps","display_name":"Biceps","score":0.860744833946228},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.6590426564216614},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.5650158524513245},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5215559005737305},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4569748640060425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4532221555709839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4479132890701294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41058340668678284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3351578712463379},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.28755050897598267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17531651258468628},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13003221154212952}],"concepts":[{"id":"https://openalex.org/C2781425419","wikidata":"https://www.wikidata.org/wiki/Q201363","display_name":"Biceps","level":2,"score":0.860744833946228},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.6590426564216614},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.5650158524513245},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5215559005737305},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4569748640060425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4532221555709839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4479132890701294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41058340668678284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3351578712463379},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.28755050897598267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17531651258468628},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13003221154212952},{"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":[{"id":"doi:10.1109/codit58514.2023.10284062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit58514.2023.10284062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2000439420","https://openalex.org/W2021795255","https://openalex.org/W2107541057","https://openalex.org/W2123917016","https://openalex.org/W2140382000","https://openalex.org/W2168162876","https://openalex.org/W2171592933","https://openalex.org/W2586435674","https://openalex.org/W2767223895","https://openalex.org/W2889032177","https://openalex.org/W2971331074","https://openalex.org/W2977575336","https://openalex.org/W2979822848","https://openalex.org/W3044605783","https://openalex.org/W3133550799","https://openalex.org/W3206003465"],"related_works":["https://openalex.org/W293276664","https://openalex.org/W1970554925","https://openalex.org/W3126333532","https://openalex.org/W2412711876","https://openalex.org/W2121109440","https://openalex.org/W2982633272","https://openalex.org/W24542860","https://openalex.org/W4390611530","https://openalex.org/W2014818464","https://openalex.org/W2318171354"],"abstract_inverted_index":{"Complexity":[0],"measures":[1,85],"of":[2,16,22,30,52,57,91,93,105,108,131,135,138,146,162,188,194,208],"the":[3,20,28,31,50,53,58,62,72,75,111,128,132,136,165,172,186,192],"information":[4],"contained":[5],"within":[6],"Surface":[7],"Electromyography":[8],"(sEMG)":[9],"signals":[10,45,113],"can":[11,175,181,200],"aid":[12],"in":[13,110,114,127,164],"monitoring":[14],"progression":[15],"muscle":[17,56,133,189],"fatigue":[18,68,78,118,190],"during":[19,35],"performance":[21],"everyday":[23],"activities.":[24],"In":[25],"this":[26,198],"work,":[27],"complexity":[29,193],"sEMG":[32,44,112,195],"signal":[33],"dynamics":[34],"repetitive":[36],"task":[37],"has":[38],"been":[39,47],"assessed":[40],"using":[41],"phase":[42,83,121,166,179],"entropy.":[43],"have":[46],"recorded":[48],"from":[49],"belly":[51],"biceps":[54,64],"brachii":[55],"participants":[59],"while":[60],"performing":[61],"dynamic":[63],"curl":[65],"exercise":[66],"until":[67],"induced":[69],"failure.":[70],"From":[71,171],"pre-processed":[73],"signals,":[74],"non-fatigue":[76,116],"and":[77,117,155,206],"segments":[79],"are":[80,86],"extracted.":[81],"The":[82,101,120,143],"entropy":[84,122,167,180],"computed":[87],"for":[88,157,203],"varied":[89],"choice":[90,145],"number":[92],"angular":[94],"sections":[95],"(":[96],"<tex":[97,139,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[98,140,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$K$</tex>":[99,149],").":[100],"results":[102],"demonstrate":[103],"existence":[104],"considerable":[106],"rate":[107],"variability":[109],"both":[115],"states.":[119],"is":[123,150,169],"observed":[124],"to":[125,152,184],"decrease":[126,161],"fatigued":[129],"condition":[130],"irrespective":[134],"value":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\boldsymbol{K}$</tex>":[141],".":[142],"optimal":[144],"found":[151],"be":[153,176,182,201],"4":[154],"7":[156],"which":[158],"a":[159],"mean":[160],"~4%":[163],"values":[168],"noted.":[170],"results,":[173],"it":[174],"inferred":[177],"that":[178],"utilized":[183],"assess":[185],"impact":[187],"on":[191],"signals.":[196],"Thus,":[197],"feature":[199],"useful":[202],"efficient":[204],"control":[205],"design":[207],"rehabilitative":[209],"techniques.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}