{"id":"https://openalex.org/W2972342326","doi":"https://doi.org/10.1109/i2mtc.2019.8827156","title":"Detection of Heart Murmurs for Imbalanced Dataset Using Adaptive Synthetic Sampling Approach","display_name":"Detection of Heart Murmurs for Imbalanced Dataset Using Adaptive Synthetic Sampling Approach","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2972342326","doi":"https://doi.org/10.1109/i2mtc.2019.8827156","mag":"2972342326"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2019.8827156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8827156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5019560420","display_name":"Madhusudhan Mishra","orcid":"https://orcid.org/0000-0002-5891-7984"},"institutions":[{"id":"https://openalex.org/I160302567","display_name":"North Eastern Regional Institute of Science and Technology","ror":"https://ror.org/01wbhqj28","country_code":"IN","type":"education","lineage":["https://openalex.org/I160302567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhusudhan Mishra","raw_affiliation_strings":["Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology, India","institution_ids":["https://openalex.org/I160302567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080264301","display_name":"Anirban Mukherjee","orcid":"https://orcid.org/0000-0002-8463-4347"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anirban Mukherjee","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5829,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94439902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"47","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9398000240325928,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9023000001907349,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/phonocardiogram","display_name":"Phonocardiogram","score":0.9725669622421265},{"id":"https://openalex.org/keywords/heart-sounds","display_name":"Heart sounds","score":0.672126829624176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6564451456069946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5505212545394897},{"id":"https://openalex.org/keywords/heart-murmur","display_name":"Heart murmur","score":0.5202761292457581},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4710017740726471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4443924129009247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3270658254623413},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.16201886534690857},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09623175859451294}],"concepts":[{"id":"https://openalex.org/C159693508","wikidata":"https://www.wikidata.org/wiki/Q3301075","display_name":"Phonocardiogram","level":2,"score":0.9725669622421265},{"id":"https://openalex.org/C2779435589","wikidata":"https://www.wikidata.org/wiki/Q967103","display_name":"Heart sounds","level":2,"score":0.672126829624176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564451456069946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505212545394897},{"id":"https://openalex.org/C2780379053","wikidata":"https://www.wikidata.org/wiki/Q1060911","display_name":"Heart murmur","level":2,"score":0.5202761292457581},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4710017740726471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4443924129009247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3270658254623413},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.16201886534690857},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09623175859451294}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2019.8827156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8827156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7099999785423279,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W1571173121","https://openalex.org/W1751223533","https://openalex.org/W1983962094","https://openalex.org/W1995819996","https://openalex.org/W2000982976","https://openalex.org/W2043999892","https://openalex.org/W2051429090","https://openalex.org/W2052118492","https://openalex.org/W2073186891","https://openalex.org/W2097085008","https://openalex.org/W2104933073","https://openalex.org/W2109723817","https://openalex.org/W2116728627","https://openalex.org/W2134398768","https://openalex.org/W2137837503","https://openalex.org/W2143755314","https://openalex.org/W2145641829","https://openalex.org/W2162451429","https://openalex.org/W2167417928","https://openalex.org/W2513217656","https://openalex.org/W2607377556","https://openalex.org/W2609215807","https://openalex.org/W2645397450","https://openalex.org/W2792481892","https://openalex.org/W2818480487","https://openalex.org/W2897048111","https://openalex.org/W6675634716","https://openalex.org/W6755559107"],"related_works":["https://openalex.org/W2152419616","https://openalex.org/W1506440961","https://openalex.org/W2728656984","https://openalex.org/W1972136701","https://openalex.org/W2018728702","https://openalex.org/W4382935287","https://openalex.org/W4205145879","https://openalex.org/W2245583084","https://openalex.org/W3191193899","https://openalex.org/W4205419329"],"abstract_inverted_index":{"Cardiovascular":[0],"diseases":[1],"(CVDs)":[2],"are":[3],"potentially":[4],"detected":[5],"using":[6],"heart":[7,14,59,99,133,146],"sound":[8],"characteristics.":[9],"The":[10,48,114],"presence":[11],"of":[12,40,58,72,104,132,145],"pathological":[13],"murmurs":[15,60,100,134],"is":[16,46,51,68,112],"associated":[17],"with":[18],"cardiac":[19],"abnormalities.":[20],"In":[21,70],"this":[22],"paper,":[23],"a":[24,31,55,137],"noble":[25],"automatic":[26],"detection":[27,57],"framework":[28],"that":[29,91],"employs":[30],"cascaded":[32],"variational":[33],"mode":[34],"decomposition":[35],"(VMD)":[36],"and":[37,125],"acoustic-based":[38],"features":[39],"the":[41,66,74,81,94,102,105,110,118,123,129,143],"nonstationary":[42],"phonocardiogram":[43],"(PCG)":[44],"signals":[45],"proposed.":[47],"main":[49],"objective":[50],"to":[52,97,139],"investigate":[53],"whether":[54],"reliable":[56],"can":[61],"still":[62],"be":[63],"achieved":[64],"when":[65,109],"dataset":[67,83,111],"imbalanced.":[69,113],"light":[71],"this,":[73],"proposed":[75],"work":[76],"has":[77],"been":[78],"extended":[79],"for":[80,142],"imbalanced":[82,126],"by":[84],"incorporating":[85],"Adaptive":[86],"Synthetic":[87],"(ADASYN)":[88],"sampling":[89],"approach":[90],"learns":[92],"from":[93],"minority":[95],"samples":[96],"detect":[98],"as":[101],"performance":[103],"conventional":[106],"classifiers":[107],"degrades":[108],"result":[115],"analysis":[116],"shows":[117],"promising":[119],"outcome":[120],"on":[121],"both":[122],"balanced":[124],"datasets":[127],"in":[128],"correct":[130],"recognition":[131],"thereby":[135],"paving":[136],"way":[138],"assist":[140],"cardiologist":[141],"diagnosis":[144],"diseases.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
