{"id":"https://openalex.org/W2025538916","doi":"https://doi.org/10.1109/bhi.2014.6864449","title":"A new cyclostationarity-based blind approach for motor unit's firing rate automated detection in electromyographic signals","display_name":"A new cyclostationarity-based blind approach for motor unit's firing rate automated detection in electromyographic signals","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2025538916","doi":"https://doi.org/10.1109/bhi.2014.6864449","mag":"2025538916"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2014.6864449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2014.6864449","pdf_url":null,"source":{"id":"https://openalex.org/S4393918972","display_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)","issn_l":"2641-3590","issn":["2641-3590"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5057145134","display_name":"Julien Roussel","orcid":"https://orcid.org/0000-0001-9571-7116"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210117273","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Art","ror":"https://ror.org/02kgft750","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210117273"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Julien Roussel","raw_affiliation_strings":["Univ. Orl\u00e9ans ENSI de Bourges, Chartres, France","ENSI de Bourges, Univ. Orleans, Chartres, France"],"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans ENSI de Bourges, Chartres, France","institution_ids":["https://openalex.org/I4210117273","https://openalex.org/I12449238"]},{"raw_affiliation_string":"ENSI de Bourges, Univ. Orleans, Chartres, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029255907","display_name":"Michel Haritopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I4210117273","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Art","ror":"https://ror.org/02kgft750","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210117273"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michel Haritopoulos","raw_affiliation_strings":["Univ. Orl\u00e9ans ENSI de Bourges, Chartres, France","ENSI de Bourges, Univ. Orleans, Chartres, France"],"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans ENSI de Bourges, Chartres, France","institution_ids":["https://openalex.org/I4210117273","https://openalex.org/I12449238"]},{"raw_affiliation_string":"ENSI de Bourges, Univ. Orleans, Chartres, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086629476","display_name":"Philippe Ravier","orcid":"https://orcid.org/0000-0002-0925-6905"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Ravier","raw_affiliation_strings":["Univ. Orl\u00e9ans ENSI de Bourges, Orl\u00e9ans, France","ENSI de Bourges, Univ. Orleans, Orleans, France"],"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans ENSI de Bourges, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]},{"raw_affiliation_string":"ENSI de Bourges, Univ. Orleans, Orleans, France","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022668654","display_name":"Olivier Buttelli","orcid":"https://orcid.org/0000-0001-7290-6344"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Buttelli","raw_affiliation_strings":["Univ. Orl\u00e9ans ENSI de Bourges, Orl\u00e9ans, France","ENSI de Bourges, Univ. Orleans, Orleans, France"],"affiliations":[{"raw_affiliation_string":"Univ. Orl\u00e9ans ENSI de Bourges, Orl\u00e9ans, France","institution_ids":["https://openalex.org/I12449238"]},{"raw_affiliation_string":"ENSI de Bourges, Univ. Orleans, Orleans, France","institution_ids":["https://openalex.org/I12449238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057145134"],"corresponding_institution_ids":["https://openalex.org/I12449238","https://openalex.org/I4210117273"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6899696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"140","issue":null,"first_page":"656","last_page":"659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9926999807357788,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9886000156402588,"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/cyclostationary-process","display_name":"Cyclostationary process","score":0.914752185344696},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6812323927879333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071162223815918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5977319478988647},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5970066785812378},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5798667669296265},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5763009786605835},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5511083006858826},{"id":"https://openalex.org/keywords/motor-unit","display_name":"Motor unit","score":0.5008013248443604},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.47634366154670715},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.47250497341156006},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.4719960689544678},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46231135725975037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4373599588871002},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4314896762371063},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4266946017742157},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.4120844006538391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32984206080436707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25695401430130005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14599695801734924},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10612937808036804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10028660297393799}],"concepts":[{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.914752185344696},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6812323927879333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071162223815918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5977319478988647},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5970066785812378},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5798667669296265},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5763009786605835},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5511083006858826},{"id":"https://openalex.org/C2781425072","wikidata":"https://www.wikidata.org/wiki/Q1889028","display_name":"Motor unit","level":2,"score":0.5008013248443604},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.47634366154670715},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.47250497341156006},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.4719960689544678},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46231135725975037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4373599588871002},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4314896762371063},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4266946017742157},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.4120844006538391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32984206080436707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25695401430130005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14599695801734924},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10612937808036804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10028660297393799},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2014.6864449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2014.6864449","pdf_url":null,"source":{"id":"https://openalex.org/S4393918972","display_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)","issn_l":"2641-3590","issn":["2641-3590"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W82234344","https://openalex.org/W1566388569","https://openalex.org/W1976423785","https://openalex.org/W1996355918","https://openalex.org/W2001414779","https://openalex.org/W2099019403","https://openalex.org/W2116538082","https://openalex.org/W2120969571","https://openalex.org/W2124757684","https://openalex.org/W2135503775","https://openalex.org/W2140885872","https://openalex.org/W6634050729"],"related_works":["https://openalex.org/W1986327676","https://openalex.org/W2159554012","https://openalex.org/W2056060022","https://openalex.org/W2726348405","https://openalex.org/W2972674561","https://openalex.org/W2092748845","https://openalex.org/W1593767952","https://openalex.org/W2010359544","https://openalex.org/W2116115216","https://openalex.org/W2130532468"],"abstract_inverted_index":{"This":[0],"work":[1],"focuses":[2],"on":[3,31,91,163],"electromyographic":[4],"(EMG)":[5],"signal":[6],"processing.":[7],"We":[8],"propose":[9],"a":[10,46,54,130],"new":[11],"blind":[12],"approach":[13],"that":[14,108],"aims":[15],"at":[16],"detecting":[17],"the":[18,22,32,59,74,92,99,105,115,121,125,134,139,147,151,169],"firing":[19],"rates":[20],"of":[21,45,94,114,129,141,150],"activated":[23],"motor":[24],"units.":[25],"The":[26,85],"proposed":[27,86,135],"method":[28,110],"is":[29,58,89],"based":[30,90],"fact":[33],"that,":[34],"EMGs":[35,165],"can":[36,69],"be":[37],"modelled":[38],"as":[39],"second-order":[40],"cyclostationary":[41],"signals.":[42,118],"After":[43,119],"application":[44],"Blind":[47],"Source":[48],"Separation":[49],"(BSS)":[50],"algorithm,":[51],"we":[52,65],"compute":[53],"cyclostationarity":[55],"measure":[56],"which":[57],"Cyclic":[60],"Spectral":[61],"Density":[62],"(CSD),":[63],"and":[64,80,127,171],"show":[66],"how":[67],"one":[68],"use":[70],"it":[71],"to":[72,124,138,146],"group":[73],"estimated":[75,116],"components":[76],"into":[77],"independent":[78],"subspaces":[79],"in":[81,168],"an":[82],"automated":[83],"manner.":[84],"classification":[87,113],"procedure":[88,136],"concept":[93],"subspace":[95,122],"BSS":[96],"techniques,":[97],"like":[98],"Multidimensional":[100],"Independent":[101],"Component":[102],"Analysis":[103],"(MICA),":[104],"difference":[106],"being":[107],"our":[109],"allows":[111],"automatic":[112],"source":[117],"discarding":[120],"corresponding":[123,145],"noise":[126],"computation":[128],"modified":[131],"CSD":[132],"measure,":[133],"yields":[137],"detection":[140],"specific":[142],"cyclic":[143],"frequencies":[144,149],"discharge":[148],"Motor":[152],"Units":[153],"Action":[154],"Potential":[155],"Trains":[156],"(MUAPTs).":[157],"Early":[158],"results":[159],"obtained":[160],"from":[161],"experiments":[162],"synthetic":[164],"are":[166],"presented":[167],"paper":[170],"research":[172],"perspectives":[173],"conclude":[174],"this":[175],"work.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
