{"id":"https://openalex.org/W4391631810","doi":"https://doi.org/10.1109/icassp48485.2024.10446154","title":"SDEMG: Score-Based Diffusion Model for Surface Electromyographic Signal Denoising","display_name":"SDEMG: Score-Based Diffusion Model for Surface Electromyographic Signal Denoising","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4391631810","doi":"https://doi.org/10.1109/icassp48485.2024.10446154"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.03808","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054367603","display_name":"Yu-Tung Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Tung Liu","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Electronics and Electrical Engineering,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Electronics and Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037365489","display_name":"Kuan-Chen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Chen Wang","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Communication Engineering,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Communication Engineering,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050020402","display_name":"Kai-Chun Liu","orcid":"https://orcid.org/0000-0001-7867-4716"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Chun Liu","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineering,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039977302","display_name":"Sheng-Yu Peng","orcid":"https://orcid.org/0000-0002-6759-9797"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Yu Peng","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Electrical Engineering,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044008055","display_name":"Yu Tsao","orcid":"https://orcid.org/0000-0001-6956-0418"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu Tsao","raw_affiliation_strings":["Academia Sinica,Research Center for Information Technology Innovation,Taiwan"],"affiliations":[{"raw_affiliation_string":"Academia Sinica,Research Center for Information Technology Innovation,Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054367603"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":1.3144,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77083418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1736","last_page":"1740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9993000030517578,"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":0.9993000030517578,"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":0.998199999332428,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9663000106811523,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317579388618469},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6328677535057068},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5778720378875732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640740990638733},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5569968819618225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5540645122528076},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4773552417755127},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4690571129322052},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4613739252090454},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.4421318769454956},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22024354338645935},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.13928565382957458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11216241121292114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317579388618469},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6328677535057068},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5778720378875732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640740990638733},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5569968819618225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5540645122528076},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4773552417755127},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4690571129322052},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4613739252090454},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.4421318769454956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22024354338645935},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.13928565382957458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11216241121292114},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.03808","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.03808","pdf_url":"https://arxiv.org/pdf/2402.03808","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.03808","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.03808","pdf_url":"https://arxiv.org/pdf/2402.03808","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391631810.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1505878979","https://openalex.org/W1977607443","https://openalex.org/W2004491046","https://openalex.org/W2039488821","https://openalex.org/W2073379399","https://openalex.org/W2086973807","https://openalex.org/W2159745773","https://openalex.org/W2159872201","https://openalex.org/W2169931829","https://openalex.org/W2405774341","https://openalex.org/W2879390606","https://openalex.org/W2887859967","https://openalex.org/W2889658987","https://openalex.org/W2945801048","https://openalex.org/W3081630972","https://openalex.org/W3089100525","https://openalex.org/W3164328099","https://openalex.org/W3176096490","https://openalex.org/W3185108572","https://openalex.org/W3202417708","https://openalex.org/W4211003818","https://openalex.org/W4221144097","https://openalex.org/W4317541737","https://openalex.org/W4365510375","https://openalex.org/W4372260472","https://openalex.org/W6762871372","https://openalex.org/W6765775151","https://openalex.org/W6779823529","https://openalex.org/W6788990321","https://openalex.org/W6798721538"],"related_works":["https://openalex.org/W2090049157","https://openalex.org/W1976835164","https://openalex.org/W2134771946","https://openalex.org/W2006407424","https://openalex.org/W189153436","https://openalex.org/W52818356","https://openalex.org/W4206782091","https://openalex.org/W2952669920","https://openalex.org/W1519664117","https://openalex.org/W2065885792"],"abstract_inverted_index":{"Surface":[0],"electromyography":[1],"(sEMG)":[2],"recordings":[3],"can":[4],"be":[5],"influenced":[6],"by":[7],"electrocardiogram":[8],"(ECG)":[9],"signals":[10,43,122],"when":[11],"the":[12,19,52,94,114,124,149],"muscle":[13],"being":[14],"monitored":[15],"is":[16,151],"close":[17],"to":[18,39,63,101],"heart.":[20],"Several":[21],"existing":[22],"methods":[23,138],"use":[24],"signal-processing-based":[25],"approaches,":[26],"such":[27],"as":[28,83],"high-pass":[29],"filter":[30],"and":[31,66,139],"template":[32],"subtraction,":[33],"while":[34],"some":[35],"derive":[36],"mapping":[37],"functions":[38],"restore":[40],"clean":[41],"sEMG":[42,46,89,105,142],"from":[44,109,123],"noisy":[45,70],"(sEMG":[47],"with":[48,69,120],"ECG":[49,121],"interference).":[50],"Recently,":[51],"score-based":[53,85],"diffusion":[54,86],"model,":[55,59],"a":[56,78,84],"renowned":[57],"generative":[58],"has":[60],"been":[61],"introduced":[62],"generate":[64],"high-quality":[65,141],"accurate":[67],"samples":[68],"input":[71],"data.":[72],"In":[73],"this":[74],"study,":[75],"we":[76,98],"proposed":[77,95],"novel":[79],"approach,":[80,97],"termed":[81],"SDEMG,":[82],"model":[87],"for":[88],"signal":[90],"denoising.":[91],"To":[92],"evaluate":[93],"SDEMG":[96,135,148],"conduct":[99],"experiments":[100],"reduce":[102],"noise":[103],"in":[104],"signals,":[106],"employing":[107],"data":[108],"an":[110],"openly":[111],"accessible":[112],"source,":[113],"Non-Invasive":[115],"Adaptive":[116],"Prosthetics":[117],"database,":[118],"along":[119],"MIT-BIH":[125],"Normal":[126],"Sinus":[127],"Rhythm":[128],"Database.":[129],"The":[130,144],"experiment":[131],"result":[132],"indicates":[133],"that":[134],"outperformed":[136],"comparative":[137],"produced":[140],"samples.":[143],"source":[145],"code":[146],"of":[147],"framework":[150],"available":[152],"at:":[153],"https://github.com/tonyliu0910/SDEMG":[154]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
