{"id":"https://openalex.org/W4389880509","doi":"https://doi.org/10.1109/iceei59426.2023.10346962","title":"Comparation Classification of EMG Signals in the Time Domain and Time-Frequency Domain","display_name":"Comparation Classification of EMG Signals in the Time Domain and Time-Frequency Domain","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4389880509","doi":"https://doi.org/10.1109/iceei59426.2023.10346962"},"language":"en","primary_location":{"id":"doi:10.1109/iceei59426.2023.10346962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei59426.2023.10346962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical Engineering and Informatics (ICEEI)","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/A5041006904","display_name":"Muhammad Adzkia","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Muhammad Adzkia","raw_affiliation_strings":["Biomedical Engineering, Institute Teknologi Bandung,Bandung,Indonesia","Biomedical Engineering, Institute Teknologi Bandung, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Institute Teknologi Bandung,Bandung,Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"Biomedical Engineering, Institute Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055535297","display_name":"Agung W. Setiawan","orcid":"https://orcid.org/0000-0002-7392-9190"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agung Wahyu Setiawan","raw_affiliation_strings":["Biomedical Engineering, Institute Teknologi Bandung,Bandung,Indonesia","Biomedical Engineering, Institute Teknologi Bandung, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Institute Teknologi Bandung,Bandung,Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"Biomedical Engineering, Institute Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049027133","display_name":"Firzal Arland","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Firzal Arland","raw_affiliation_strings":["Biomedical Engineering, Institute Teknologi Bandung,Bandung,Indonesia","Biomedical Engineering, Institute Teknologi Bandung, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Institute Teknologi Bandung,Bandung,Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"Biomedical Engineering, Institute Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041006904"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.1125,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43107873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7289096117019653},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.7085378170013428},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6553986668586731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6373136639595032},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6268030405044556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251744031906128},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5520235300064087},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5024459362030029},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49659520387649536},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.488810271024704},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.47958770394325256},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.473438024520874},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4562952518463135},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4400610327720642},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.432931125164032},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.42915576696395874},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4165623188018799},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19773036241531372},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.06721320748329163}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7289096117019653},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.7085378170013428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6553986668586731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6373136639595032},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6268030405044556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251744031906128},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5520235300064087},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5024459362030029},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49659520387649536},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.488810271024704},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.47958770394325256},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.473438024520874},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4562952518463135},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4400610327720642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.432931125164032},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.42915576696395874},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4165623188018799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19773036241531372},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.06721320748329163},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceei59426.2023.10346962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei59426.2023.10346962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical Engineering and Informatics (ICEEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6399999856948853,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2044628302","https://openalex.org/W2103403570","https://openalex.org/W2115790233","https://openalex.org/W2167262695","https://openalex.org/W2785722663","https://openalex.org/W2810609713","https://openalex.org/W2897687216","https://openalex.org/W2980709048","https://openalex.org/W2983323944","https://openalex.org/W3015418301","https://openalex.org/W3046534238","https://openalex.org/W4312618619","https://openalex.org/W6631453989"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2911808920","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W1980222719"],"abstract_inverted_index":{"Electromyography":[0],"(EMG)":[1],"has":[2],"been":[3],"used":[4,183],"extensively":[5],"in":[6,18,45,71,101,144,154,158,187,198],"motion":[7,20,199],"recognition":[8,21,200],"for":[9],"rehabilitation":[10,202],"or":[11,203],"prosthetic":[12,204],"control.":[13,205],"One":[14],"of":[15,28,38,64,178],"the":[16,23,36,46,72,99,102,107,139,145,152,155],"challenges":[17],"EMG-based":[19],"is":[22],"effective":[24,193],"and":[25,49,94,131,192],"accurate":[26,191],"classification":[27,41,113,170,196],"EMG":[29,39,52,96,111,160,194],"signals.":[30],"In":[31],"this":[32,179],"study,":[33],"we":[34],"compare":[35],"performance":[37],"signal":[40,53,112,195],"between":[42],"feature":[43,68,142],"extraction":[44,69,143],"time":[47,73,156],"domain":[48,74,104,147,157],"time-frequency":[50,103,146],"domain.":[51],"data":[54],"was":[55,148],"obtained":[56],"from":[57],"a":[58,62,163,168,185,189],"public":[59],"dataset":[60],"with":[61,141,167],"total":[63],"36":[65],"subjects.":[66],"The":[67,135,176],"method":[70,100,140,153,197],"will":[75,105,114],"use":[76,106],"statistical":[77],"features":[78],"such":[79],"as":[80,184],"root":[81],"mean":[82,85],"square":[83],"(RMS),":[84],"absolute":[86],"value":[87],"(MAV),":[88],"variance":[89],"(VAR),":[90],"zero":[91],"crossing":[92],"(ZC),":[93],"Integrated":[95],"(IEMG),":[97],"while":[98],"wavelet":[108],"transform":[109],"(WT).":[110],"be":[115,182],"carried":[116],"out":[117],"using":[118,162],"several":[119],"classifiers":[120],"including":[121],"Support":[122],"vector":[123],"machines,":[124],"K-NN":[125],"(k-Nearest":[126],"Neighbor),":[127],"Decision":[128],"Tree":[129],"(DT),":[130],"Random":[132],"Forest":[133],"(RF).":[134],"results":[136,177],"showed":[137],"that":[138],"significantly":[149],"better":[150],"than":[151],"classifying":[159],"signals":[161],"random":[164],"forest":[165],"classifier":[166],"higher":[169],"accuracy":[171],"ratio":[172],"(99.95%":[173],"vs.":[174],"95.50%).":[175],"study":[180],"can":[181],"reference":[186],"selecting":[188],"more":[190],"during":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}