{"id":"https://openalex.org/W2751583008","doi":"https://doi.org/10.1145/3093241.3093269","title":"Noise-Tolerant Neural Network Approach for Electrocardiogram Signal Classification","display_name":"Noise-Tolerant Neural Network Approach for Electrocardiogram Signal Classification","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2751583008","doi":"https://doi.org/10.1145/3093241.3093269","mag":"2751583008"},"language":"en","primary_location":{"id":"doi:10.1145/3093241.3093269","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","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/A5103249406","display_name":"Alberto Ochoa-Brust","orcid":"https://orcid.org/0000-0003-3327-8562"},"institutions":[{"id":"https://openalex.org/I916541031","display_name":"Universidad de Colima","ror":"https://ror.org/04znxe670","country_code":"MX","type":"education","lineage":["https://openalex.org/I916541031"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Alberto Ochoa","raw_affiliation_strings":["Universidad de Colima, Colima, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad de Colima, Colima, Mexico","institution_ids":["https://openalex.org/I916541031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084651171","display_name":"Luis J. Mena","orcid":"https://orcid.org/0000-0002-3244-0129"},"institutions":[{"id":"https://openalex.org/I4403386673","display_name":"Universidad Polit\u00e9cnica de Sinaloa","ror":"https://ror.org/00mwm0e05","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386673"]},{"id":"https://openalex.org/I4210111830","display_name":"Mazatlan Professional School of Dance","ror":"https://ror.org/01tm6bj89","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210111830"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis J. Mena","raw_affiliation_strings":["Universidad Politecnica de Sinaloa, Mazatlan, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Politecnica de Sinaloa, Mazatlan, Mexico","institution_ids":["https://openalex.org/I4210111830","https://openalex.org/I4403386673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014834531","display_name":"Vanessa G. F\u00e9lix","orcid":"https://orcid.org/0000-0001-9118-8042"},"institutions":[{"id":"https://openalex.org/I4210111830","display_name":"Mazatlan Professional School of Dance","ror":"https://ror.org/01tm6bj89","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210111830"]},{"id":"https://openalex.org/I4403386673","display_name":"Universidad Polit\u00e9cnica de Sinaloa","ror":"https://ror.org/00mwm0e05","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386673"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Vanessa G. Felix","raw_affiliation_strings":["Universidad Politecnica de Sinaloa, Mazatlan, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Politecnica de Sinaloa, Mazatlan, Mexico","institution_ids":["https://openalex.org/I4210111830","https://openalex.org/I4403386673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103249406"],"corresponding_institution_ids":["https://openalex.org/I916541031"],"apc_list":null,"apc_paid":null,"fwci":0.5255,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7008424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.995199978351593,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9930999875068665,"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/heartbeat","display_name":"Heartbeat","score":0.7928491830825806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7024739980697632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6744928359985352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6493862271308899},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6279826164245605},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5991003513336182},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5422694087028503},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44232335686683655}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.7928491830825806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024739980697632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6744928359985352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6493862271308899},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6279826164245605},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5991003513336182},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5422694087028503},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44232335686683655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":1,"locations":[{"id":"doi:10.1145/3093241.3093269","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3093241.3093269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Compute and Data Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1713729056","https://openalex.org/W1965421420","https://openalex.org/W1967820411","https://openalex.org/W1973564518","https://openalex.org/W1986706069","https://openalex.org/W1989335283","https://openalex.org/W2002148744","https://openalex.org/W2002645712","https://openalex.org/W2003465012","https://openalex.org/W2009113518","https://openalex.org/W2009977195","https://openalex.org/W2020425404","https://openalex.org/W2024479929","https://openalex.org/W2029838243","https://openalex.org/W2035390508","https://openalex.org/W2036844809","https://openalex.org/W2038920371","https://openalex.org/W2049804618","https://openalex.org/W2055741845","https://openalex.org/W2059402998","https://openalex.org/W2061185532","https://openalex.org/W2064540857","https://openalex.org/W2071415062","https://openalex.org/W2071426232","https://openalex.org/W2075133148","https://openalex.org/W2075442093","https://openalex.org/W2081386230","https://openalex.org/W2088266991","https://openalex.org/W2095409369","https://openalex.org/W2096653978","https://openalex.org/W2117336710","https://openalex.org/W2124136621","https://openalex.org/W2128939772","https://openalex.org/W2129239474","https://openalex.org/W2130129780","https://openalex.org/W2133032394","https://openalex.org/W2133525652","https://openalex.org/W2140884141","https://openalex.org/W2141050566","https://openalex.org/W2142924934","https://openalex.org/W2156576661","https://openalex.org/W2160687178","https://openalex.org/W2164327313","https://openalex.org/W2167997886","https://openalex.org/W2171408245","https://openalex.org/W2180046756","https://openalex.org/W2189556305","https://openalex.org/W2327168327","https://openalex.org/W2328363791","https://openalex.org/W2335507525","https://openalex.org/W2408592723","https://openalex.org/W2410855686","https://openalex.org/W2537411296","https://openalex.org/W3143257523","https://openalex.org/W4285719527","https://openalex.org/W4298184090"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W2044754775","https://openalex.org/W2382278803","https://openalex.org/W2803040299","https://openalex.org/W2376695684","https://openalex.org/W2236027875","https://openalex.org/W2034075638"],"abstract_inverted_index":{"Several":[0],"machine":[1],"learning":[2],"approaches":[3],"have":[4],"been":[5],"proposed":[6],"for":[7,110,129],"classifying":[8],"electrocardiogram":[9],"(ECG)":[10],"signals.":[11,27],"Most":[12],"of":[13,35,61,90,104,107,113,122,134],"these":[14],"use":[15],"adaptive":[16],"filtering":[17],"techniques":[18],"to":[19,56],"reduce":[20],"the":[21,26,33,58,62,130],"noise":[22,54],"corruption":[23],"embedded":[24],"in":[25,40,75],"However,":[28],"band-pass":[29],"filters":[30],"can":[31],"affect":[32],"estimation":[34],"morphological":[36],"parameters":[37],"and":[38,71,83,94,132],"result":[39],"misleading":[41],"interpretation.":[42],"We":[43],"propose":[44],"a":[45,100,126],"noise-tolerant":[46],"neural":[47],"network":[48],"(NN)":[49],"approach,":[50],"based":[51],"on":[52],"artificial":[53],"injection,":[55],"improve":[57],"generalization":[59],"capability":[60],"resulting":[63],"model.":[64],"The":[65],"NN":[66],"classifier":[67],"initially":[68],"discriminated":[69],"normal":[70],"abnormal":[72],"heartbeat":[73],"patterns":[74],"simulated":[76],"ECG":[77,115],"signals":[78],"with":[79,86],"minor,":[80],"moderate,":[81],"severe,":[82],"extreme":[84],"noise,":[85],"an":[87,118],"average":[88],"accuracy":[89,121],"99.2%,":[91],"95.1%,":[92],"91.4%,":[93],"85.2%":[95],"respectively.":[96],"Ultimately":[97],"we":[98],"performed":[99],"fairly":[101],"accurate":[102],"recognition":[103],"four":[105],"types":[106],"cardiac":[108,135],"anomalies":[109],"single":[111],"lead":[112],"raw":[114],"signals,":[116],"obtained":[117],"overall":[119],"classification":[120],"95.7%.":[123],"Therefore,":[124],"is":[125],"useful":[127],"tool":[128],"detection":[131],"diagnosis":[133],"abnormalities.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}