{"id":"https://openalex.org/W2823089093","doi":"https://doi.org/10.1109/siu.2018.8404186","title":"Smart classification of normal and aggressive muscle actions","display_name":"Smart classification of normal and aggressive muscle actions","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2823089093","doi":"https://doi.org/10.1109/siu.2018.8404186","mag":"2823089093"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","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/A5046867671","display_name":"Kemal Aydem\u0131r","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kemal Aydem\u0131r","raw_affiliation_strings":["Bilgisayar M&#x00FC;hendisli&#x011F;i, Bah&#x00E7;e&#x015F;ehir &#x00DC;niversitesi, Y&#x0131;ld&#x0131;z Mahallesi, &#x00C7;&#x0131;ra&#x011F;an Caddesi, Osmanpa&#x015F;a Mektebi, Sokak 4-6, 34349 Be&#x015F;ikta&#x015F;/&#x0130;stanbul T&#x00DC;RK&#x0130;YE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M&#x00FC;hendisli&#x011F;i, Bah&#x00E7;e&#x015F;ehir &#x00DC;niversitesi, Y&#x0131;ld&#x0131;z Mahallesi, &#x00C7;&#x0131;ra&#x011F;an Caddesi, Osmanpa&#x015F;a Mektebi, Sokak 4-6, 34349 Be&#x015F;ikta&#x015F;/&#x0130;stanbul T&#x00DC;RK&#x0130;YE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060523745","display_name":"Serap Ayd\u0131n","orcid":"https://orcid.org/0000-0002-4026-0750"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Serap Aydin","raw_affiliation_strings":["Biyomedikal M&#x00FC;hendisli&#x011F;i, Beykent &#x00DC;niversitesi, Ayaza&#x011F;a Mahallesi, Had&#x0131;m Koruyolu Caddesi, No:19, 34398 Sar&#x0131;yer/&#x0130;stanbul T&#x00DC;RK&#x0130;YE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biyomedikal M&#x00FC;hendisli&#x011F;i, Beykent &#x00DC;niversitesi, Ayaza&#x011F;a Mahallesi, Had&#x0131;m Koruyolu Caddesi, No:19, 34398 Sar&#x0131;yer/&#x0130;stanbul T&#x00DC;RK&#x0130;YE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07044427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9869999885559082,"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":0.9869999885559082,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9570000171661377,"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/support-vector-machine","display_name":"Support vector machine","score":0.7464444637298584},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6752921938896179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6480270624160767},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6295530796051025},{"id":"https://openalex.org/keywords/biceps","display_name":"Biceps","score":0.5664347410202026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.529875636100769},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.51628178358078},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4656344950199127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44340530037879944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43971022963523865},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42433279752731323},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35248079895973206},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22431686520576477},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.189866304397583}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7464444637298584},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6752921938896179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6480270624160767},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6295530796051025},{"id":"https://openalex.org/C2781425419","wikidata":"https://www.wikidata.org/wiki/Q201363","display_name":"Biceps","level":2,"score":0.5664347410202026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529875636100769},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.51628178358078},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4656344950199127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44340530037879944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43971022963523865},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42433279752731323},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35248079895973206},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22431686520576477},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.189866304397583},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2018.8404186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1559203752","https://openalex.org/W1930624869","https://openalex.org/W2045087707","https://openalex.org/W2123998733"],"related_works":["https://openalex.org/W2327120361","https://openalex.org/W4366159825","https://openalex.org/W2330902277","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W2889302474"],"abstract_inverted_index":{"In":[0],"the":[1,38,126,134,146,155],"present":[2],"study,":[3],"linear,":[4],"non-linear":[5],"and":[6,17,49,59,69,91,112,122,163,174,177],"statistical":[7],"approaches":[8],"so":[9],"named":[10],"Fourier":[11],"Correlation":[12,15,19],"(FC),":[13],"Wavelet":[14],"(WC)":[16],"Pearson":[18],"(PC),":[20],"respectively":[21],"have":[22,102],"been":[23],"compared":[24],"to":[25,101,170],"each":[26],"other":[27],"in":[28,99],"estimating":[29],"cross-correlations":[30],"between":[31],"two":[32],"EMG":[33],"series,":[34],"simultaneously":[35],"collected":[36],"from":[37],"same":[39],"muscle":[40,61],"groups":[41],"(biceps,":[42],"triceps,":[43],"thighs)":[44],"on":[45],"symmetric":[46],"limb":[47],"(legs":[48],"arms).":[50],"The":[51],"features,":[52],"which":[53,78],"are":[54,63,73,79],"computed":[55,64],"for":[56,65,154],"both":[57],"normal":[58,111],"aggressive":[60,114],"actions,":[62],"four":[66],"electrode":[67],"pairs":[68],"then":[70],"these":[71],"features":[72],"classified":[74],"by":[75,133],"different":[76],"classifiers":[77],"Penalized":[80],"Logistic":[81],"Regression":[82],"(PLR),":[83],"Random":[84],"Forests":[85],"(RF),":[86],"Conditional":[87],"Inference":[88],"Tree":[89],"(CIT)":[90],"Support":[92],"Vector":[93],"Machines":[94],"(SVM)":[95],"with":[96,125,151,160],"10-fold":[97],"cross-validation":[98],"order":[100],"highest":[103,147],"calculation":[104,148],"accuracy":[105,149],"(CA).":[106],"Experimental":[107],"data":[108,135],"including":[109],"six":[110,113],"actions":[115],"of":[116,129,137,140],"4":[117],"young":[118],"participants":[119],"(3":[120],"male":[121],"1":[123],"female":[124],"mean":[127],"age":[128],"21.8)":[130],"is":[131],"provided":[132],"base":[136],"UCI":[138],"(University":[139],"California":[141],"Irvine).":[142],"PC":[143],"has":[144],"given":[145],"(100%)":[150],"R":[152],"programming":[153],"RF":[156],"classifier.":[157],"CA":[158],"obtained":[159],"this":[161],"classifier":[162],"correlation":[164],"method":[165],"can":[166],"be":[167],"directly":[168],"suggested":[169],"detect":[171],"diagnostic":[172],"evaluation":[173],"neuromuscular":[175],"diseases":[176],"dysfunction.":[178]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
