{"id":"https://openalex.org/W2903858542","doi":"https://doi.org/10.23919/spa.2018.8563418","title":"IIR Wavelet Filter Banks for ECG Signal Denoising","display_name":"IIR Wavelet Filter Banks for ECG Signal Denoising","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903858542","doi":"https://doi.org/10.23919/spa.2018.8563418","mag":"2903858542"},"language":"en","primary_location":{"id":"doi:10.23919/spa.2018.8563418","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5067373096","display_name":"Yaprak Eminaga","orcid":"https://orcid.org/0000-0001-5252-5659"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yaprak Eminaga","raw_affiliation_strings":["Applied DSP and VLSI Research Group, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Applied DSP and VLSI Research Group, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073154783","display_name":"Adem Coskun","orcid":"https://orcid.org/0000-0003-0987-3070"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adem Coskun","raw_affiliation_strings":["Applied DSP and VLSI Research Group, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Applied DSP and VLSI Research Group, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063620004","display_name":"\u0130zzet Kale","orcid":"https://orcid.org/0000-0001-5562-6885"},"institutions":[{"id":"https://openalex.org/I94951947","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82","country_code":"GB","type":"education","lineage":["https://openalex.org/I94951947"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Izzet Kale","raw_affiliation_strings":["Applied DSP and VLSI Research Group, University of Westminster, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Applied DSP and VLSI Research Group, University of Westminster, London, United Kingdom","institution_ids":["https://openalex.org/I94951947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067373096"],"corresponding_institution_ids":["https://openalex.org/I94951947"],"apc_list":null,"apc_paid":null,"fwci":0.6782,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7395043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/infinite-impulse-response","display_name":"Infinite impulse response","score":0.8848595023155212},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.7080579996109009},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6852132678031921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657831072807312},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5380721688270569},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.534321129322052},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5200233459472656},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5165890455245972},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47638171911239624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4454770088195801},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.44473740458488464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39378678798675537},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.38986772298812866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30151766538619995},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1702757477760315}],"concepts":[{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.8848595023155212},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.7080579996109009},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6852132678031921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657831072807312},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5380721688270569},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.534321129322052},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5200233459472656},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5165890455245972},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47638171911239624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4454770088195801},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.44473740458488464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39378678798675537},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.38986772298812866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30151766538619995},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1702757477760315},{"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:10.23919/spa.2018.8563418","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:westminsterresearch.westminster.ac.uk:q8vzx","is_oa":false,"landing_page_url":"https://doi.org/10.23919/SPA.2018.8563418","pdf_url":null,"source":{"id":"https://openalex.org/S4306400277","display_name":"WestminsterResearch (University of Westminster)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94951947","host_organization_name":"University of Westminster","host_organization_lineage":["https://openalex.org/I94951947"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"conference-paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320669","display_name":"University of Westminster","ror":"https://ror.org/04ycpbx82"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2066393257","https://openalex.org/W2067537754","https://openalex.org/W2079724595","https://openalex.org/W2100903692","https://openalex.org/W2103880866","https://openalex.org/W2114054266","https://openalex.org/W2520600665","https://openalex.org/W2542877962","https://openalex.org/W2612589637","https://openalex.org/W2760612977","https://openalex.org/W4255521522","https://openalex.org/W7074102151"],"related_works":["https://openalex.org/W4312785053","https://openalex.org/W2142009384","https://openalex.org/W3140661709","https://openalex.org/W2021631062","https://openalex.org/W3138047207","https://openalex.org/W2810377961","https://openalex.org/W2031892245","https://openalex.org/W3208746183","https://openalex.org/W2898725502","https://openalex.org/W2058863651"],"abstract_inverted_index":{"ElectroCardioGram":[0],"(ECG)":[1],"signals":[2],"are":[3,17,102],"widely":[4],"used":[5],"for":[6,52],"diagnostic":[7],"purposes.":[8],"However,":[9],"it":[10],"is":[11,67],"well":[12,77],"known":[13],"that":[14,55,122],"these":[15],"recordings":[16],"usually":[18],"corrupted":[19],"with":[20,82,104,109,131],"different":[21],"type":[22],"of":[23,30,41,73],"noise/artifacts":[24],"which":[25],"might":[26],"lead":[27],"to":[28],"misdiagnosis":[29],"the":[31,36,79,83,110,123,139],"patient.":[32],"This":[33],"paper":[34],"presents":[35],"design":[37],"and":[38,69,107],"novel":[39],"use":[40],"Infinite":[42],"Impulse":[43,86],"Response":[44,87],"(IIR)":[45],"filter":[46,112,125],"based":[47,89],"Discrete":[48],"Wavelet":[49],"Transform":[50],"(DWT)":[51],"ECG":[53,96],"denoising":[54,74,129],"can":[56],"be":[57],"employed":[58],"in":[59,71,138],"ambulatory":[60],"health":[61],"monitoring":[62],"applications.":[63],"The":[64,114],"proposed":[65,124],"system":[66],"evaluated":[68],"compared":[70],"terms":[72],"performance":[75,130],"as":[76,78],"computational":[80],"complexity":[81],"conventional":[84],"Finite":[85],"(FIR)":[88],"DWT":[90],"systems.":[91],"For":[92],"this":[93],"purpose,":[94],"raw":[95],"data":[97],"from":[98,116],"MIT-BIH":[99],"arrhythmia":[100],"database":[101],"contaminated":[103],"synthetic":[105],"noise":[106],"denoised":[108],"aforementioned":[111],"banks.":[113],"results":[115],"100":[117],"Monte":[118],"Carlo":[119],"simulations":[120],"demonstrated":[121],"banks":[126],"provide":[127],"better":[128],"fewer":[132],"arithmetic":[133],"operations":[134],"than":[135],"those":[136],"reported":[137],"open":[140],"literature.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}