{"id":"https://openalex.org/W2094610549","doi":"https://doi.org/10.1109/robio.2013.6739823","title":"A novel method of non-stationary sEMG signal analysis and decomposition using a latent process model","display_name":"A novel method of non-stationary sEMG signal analysis and decomposition using a latent process model","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2094610549","doi":"https://doi.org/10.1109/robio.2013.6739823","mag":"2094610549"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2013.6739823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054674018","display_name":"Yan Song","orcid":"https://orcid.org/0000-0001-7927-0908"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Song","raw_affiliation_strings":["Institute of Electrical Engineering Yanshan University., Qinhuangdao, China","Inst. of Electr. Eng., YanShan Univ., Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering Yanshan University., Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]},{"raw_affiliation_string":"Inst. of Electr. Eng., YanShan Univ., Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061377407","display_name":"Ping Xie","orcid":"https://orcid.org/0000-0001-5878-087X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Xie","raw_affiliation_strings":["Institute of Electrical Engineering Yanshan University, Qinhuangdao, China","Inst. of Electr. Eng., YanShan Univ., Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]},{"raw_affiliation_string":"Inst. of Electr. Eng., YanShan Univ., Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043891117","display_name":"Xiaoguang Wu","orcid":"https://orcid.org/0000-0002-7089-376X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Wu","raw_affiliation_strings":["Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049721072","display_name":"Yihao Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yihao Du","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418692","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0003-1359-5130"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaoli Li","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"99","issue":null,"first_page":"2363","last_page":"2368"},"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":0.9993000030517578,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471521258354187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6225926876068115},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6114850640296936},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5671941637992859},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5667354464530945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5658308863639832},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4164990186691284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471521258354187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225926876068115},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6114850640296936},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5671941637992859},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5667354464530945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5658308863639832},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4164990186691284},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2013.6739823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2013.6739823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6600000262260437,"display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W281282727","https://openalex.org/W1492425803","https://openalex.org/W1518498072","https://openalex.org/W1529072761","https://openalex.org/W1587264817","https://openalex.org/W1973308932","https://openalex.org/W1980792219","https://openalex.org/W1987390419","https://openalex.org/W1990517717","https://openalex.org/W1990887086","https://openalex.org/W1992456026","https://openalex.org/W1999298231","https://openalex.org/W2002811464","https://openalex.org/W2004235096","https://openalex.org/W2024432544","https://openalex.org/W2030166131","https://openalex.org/W2033771020","https://openalex.org/W2039018512","https://openalex.org/W2046079134","https://openalex.org/W2071303183","https://openalex.org/W2072852454","https://openalex.org/W2076943262","https://openalex.org/W2090353547","https://openalex.org/W2091066310","https://openalex.org/W2102121630","https://openalex.org/W2106526692","https://openalex.org/W2112433864","https://openalex.org/W2140036652","https://openalex.org/W2151275710","https://openalex.org/W2158637687","https://openalex.org/W2158728671","https://openalex.org/W2324808601","https://openalex.org/W2344249856","https://openalex.org/W2796104303","https://openalex.org/W4242314979","https://openalex.org/W4285719527","https://openalex.org/W6610165803","https://openalex.org/W6630985644","https://openalex.org/W6631656459","https://openalex.org/W6683187120"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,34,45,59,75,78,133],"problems":[3],"of":[4,14,19,38,47,71,77,93,113,135],"conventional":[5],"signal":[6,152],"analysis":[7,110,153],"methods":[8],"about":[9],"non-stationary":[10,150],"and":[11,52,64,85,103,111,148],"frequency":[12],"characteristics":[13],"surface":[15],"electromyogrphy":[16],"(sEMG)":[17],"is":[18,145],"great":[20],"significance":[21],"to":[22,131],"rehabilitation":[23,160],"robot":[24,161],"control":[25],"with":[26,124],"EMG-based":[27],"human-computer":[28],"interfaces":[29],"(HCI).":[30],"In":[31],"this":[32,136],"paper,":[33],"latent":[35,79,142],"process":[36,80,143],"models":[37],"sEMG":[39,72,94,151],"signals":[40,60,95],"were":[41,88,106],"developed":[42],"based":[43],"on":[44],"combination":[46],"time-varying":[48,82],"auto-regression":[49],"(TVAR)":[50],"model":[51,55,144],"dynamic":[53],"linear":[54],"(DLM),":[56],"which":[57,155],"decomposed":[58],"into":[61],"several":[62],"components,":[63],"each":[65],"component":[66],"represents":[67],"different":[68],"time-frequency":[69],"behavior":[70],"signals.":[73],"On":[74],"basis":[76],"model,":[81],"parameters,":[83],"modulus":[84],"wavelength":[86],"features":[87,92],"extracted.":[89],"The":[90,138],"fusing":[91],"in":[96,159],"two":[97],"elbow":[98,104],"movement":[99],"conditions":[100],"(elbow":[101],"flexion":[102],"extension)":[105],"adopted":[107],"for":[108],"clustering":[109],"classification":[112],"data":[114],"was":[115,128],"visualized":[116],"by":[117],"using":[118],"self-organizing":[119],"map":[120],"(SOM).":[121],"An":[122],"experiment":[123],"9":[125],"healthy":[126],"participants":[127],"carried":[129],"out":[130],"verify":[132],"validity":[134],"algorithm.":[137],"result":[139],"implied":[140],"that":[141],"a":[146],"meaningful":[147],"valuable":[149],"method":[154],"may":[156],"be":[157],"promising":[158],"control.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
