{"id":"https://openalex.org/W4293508746","doi":"https://doi.org/10.1109/tim.2022.3198441","title":"Cardiac Artifact Noise Removal From Sleep EEG Signals Using Hybrid Denoising Model","display_name":"Cardiac Artifact Noise Removal From Sleep EEG Signals Using Hybrid Denoising Model","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293508746","doi":"https://doi.org/10.1109/tim.2022.3198441"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3198441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3198441","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5040030555","display_name":"Rakesh Ranjan","orcid":"https://orcid.org/0000-0002-0089-1734"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakesh Ranjan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India"],"raw_orcid":"https://orcid.org/0000-0002-0089-1734","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020892815","display_name":"Bikash Chandra Sahana","orcid":"https://orcid.org/0000-0002-0369-7718"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bikash Chandra Sahana","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India"],"raw_orcid":"https://orcid.org/0000-0002-0369-7718","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066467382","display_name":"Ashish Kumar Bhandari","orcid":"https://orcid.org/0000-0001-9842-8125"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Kumar Bhandari","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India"],"raw_orcid":"https://orcid.org/0000-0001-9842-8125","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, India","institution_ids":["https://openalex.org/I11793825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11793825"],"apc_list":null,"apc_paid":null,"fwci":2.8672,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91841009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9986000061035156,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9965999722480774,"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/electroencephalography","display_name":"Electroencephalography","score":0.8187086582183838},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7584136724472046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446313261985779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.635444700717926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5983014106750488},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5361753702163696},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4688602089881897},{"id":"https://openalex.org/keywords/polysomnography","display_name":"Polysomnography","score":0.45836740732192993},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4462663531303406},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4253590703010559},{"id":"https://openalex.org/keywords/sleep-stages","display_name":"Sleep Stages","score":0.41067367792129517},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1302013397216797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09980607032775879}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8187086582183838},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7584136724472046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446313261985779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635444700717926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5983014106750488},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5361753702163696},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4688602089881897},{"id":"https://openalex.org/C2778205975","wikidata":"https://www.wikidata.org/wiki/Q1754874","display_name":"Polysomnography","level":3,"score":0.45836740732192993},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4462663531303406},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4253590703010559},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.41067367792129517},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1302013397216797},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09980607032775879},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3198441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3198441","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1724009339","https://openalex.org/W1970385721","https://openalex.org/W1975098470","https://openalex.org/W2000982976","https://openalex.org/W2014255822","https://openalex.org/W2019900743","https://openalex.org/W2024461528","https://openalex.org/W2046425429","https://openalex.org/W2049058798","https://openalex.org/W2101640127","https://openalex.org/W2102197361","https://openalex.org/W2116871167","https://openalex.org/W2121034421","https://openalex.org/W2141905629","https://openalex.org/W2143815478","https://openalex.org/W2152195021","https://openalex.org/W2414996084","https://openalex.org/W2507523630","https://openalex.org/W2507660505","https://openalex.org/W2521878393","https://openalex.org/W2546159266","https://openalex.org/W2566612029","https://openalex.org/W2568243626","https://openalex.org/W2603478627","https://openalex.org/W2605854134","https://openalex.org/W2791653721","https://openalex.org/W2802463199","https://openalex.org/W2890992624","https://openalex.org/W2896984162","https://openalex.org/W2897960454","https://openalex.org/W2898871759","https://openalex.org/W2901979615","https://openalex.org/W2907922896","https://openalex.org/W2911891026","https://openalex.org/W2944181534","https://openalex.org/W2944781452","https://openalex.org/W2945625487","https://openalex.org/W2963355311","https://openalex.org/W2977246437","https://openalex.org/W3004161400","https://openalex.org/W3005125086","https://openalex.org/W3021457804","https://openalex.org/W3039648615","https://openalex.org/W3042702952","https://openalex.org/W3089395314","https://openalex.org/W3137070123","https://openalex.org/W3162174351","https://openalex.org/W3176397729","https://openalex.org/W3202417708","https://openalex.org/W4206034043","https://openalex.org/W4245738413"],"related_works":["https://openalex.org/W4378835439","https://openalex.org/W2084125138","https://openalex.org/W2841059565","https://openalex.org/W2294987193","https://openalex.org/W3196356839","https://openalex.org/W4224220486","https://openalex.org/W3026648951","https://openalex.org/W2079867952","https://openalex.org/W4247336441","https://openalex.org/W2909475760"],"abstract_inverted_index":{"Sleep":[0],"is":[1,24,32,102,196],"one":[2],"of":[3,19,49,109,118,163,203],"the":[4,61,119,124,150,201],"prime":[5],"natural":[6],"activities":[7],"for":[8,104,212],"human":[9],"well-being":[10],"in":[11,94,123,161,182],"physical,":[12],"emotional,":[13],"and":[14,90,107,140,190,199],"mental":[15],"aspects.":[16],"The":[17,47,116,193],"assessment":[18],"sleep":[20,35,62],"Electroencephalography":[21],"(EEG)":[22],"signals":[23,37],"required":[25],"to":[26,41,67,172],"diagnose":[27],"sleep-related":[28],"neurological":[29],"disorders.":[30],"It":[31,145],"found":[33],"that":[34,149],"EEG":[36,63,70,157,204,215],"are":[38],"extremely":[39],"vulnerable":[40],"highly":[42],"energetic":[43],"electrocardiogram":[44],"(ECG)":[45],"signals.":[46],"intermixing":[48],"ECG":[50],"into":[51],"EEG,":[52],"commonly":[53],"known":[54],"as":[55,134,170],"cardiac":[56,110],"artifacts,":[57],"might":[58],"severely":[59],"affect":[60],"data.":[64],"In":[65],"order":[66],"have":[68],"artifact-free":[69],"signal,":[71],"a":[72,113],"hybrid":[73],"signal":[74,171],"denoising":[75,166],"methodology":[76,121],"which":[77],"includes":[78],"empirical":[79],"wavelet":[80],"transforms":[81],"(EWT),":[82],"adaptive":[83],"threshold-based":[84],"nonlinear":[85],"Teager-Kaiser":[86],"energy":[87],"operator":[88],"(TEO),":[89],"customized":[91],"morphological":[92],"filter":[93],"accompanying":[95],"with":[96,206],"modified":[97],"ensemble":[98],"average":[99],"subtraction":[100],"(MEAS)":[101],"proposed":[103,120,151,194],"automatic":[105],"detection":[106],"suppression":[108],"artifact":[111,158,173],"from":[112],"single-channel":[114],"EEG.":[115],"efficacy":[117],"presented":[122],"paper":[125],"has":[126,146],"been":[127,147],"evaluated":[128],"over":[129],"standard":[130],"public":[131],"datasets":[132],"such":[133,169],"CinC":[135],"Challenge":[136],"2014":[137],"dataset":[138],"(synthetic),":[139],"MIT-BIH":[141],"polysomnography":[142],"data":[143,205],"(clinical).":[144],"observed":[148],"method":[152,195],"outperforms":[153],"other":[154],"state-of-the-art":[155],"automated":[156],"elimination":[159],"methods":[160],"terms":[162],"few":[164],"popular":[165],"performance":[167],"indexes":[168],"ratio,":[174],"percentage":[175,180],"root":[176],"mean":[177],"square":[178],"difference,":[179],"distortion":[181],"power":[183],"spectral":[184],"density,":[185],"structural":[186],"similarity":[187],"index":[188],"measure,":[189],"execution":[191],"time.":[192],"robust,":[197],"time-efficient,":[198],"preserves":[200],"majority":[202],"minimal":[207],"loss,":[208],"making":[209],"it":[210],"suitable":[211],"neuro":[213],"clinical":[214],"analysis.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-10-10T00:00:00"}
