{"id":"https://openalex.org/W2042807154","doi":"https://doi.org/10.1109/ncc.2015.7084904","title":"Heart murmur detection and classification using wavelet transform and Hilbert phase envelope","display_name":"Heart murmur detection and classification using wavelet transform and Hilbert phase envelope","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2042807154","doi":"https://doi.org/10.1109/ncc.2015.7084904","mag":"2042807154"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2015.7084904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","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/A5077555494","display_name":"V. Nivitha Varghees","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V. Nivitha Varghees","raw_affiliation_strings":["Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu, India","Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu-641112, India"],"affiliations":[{"raw_affiliation_string":"Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu, India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu-641112, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010396465","display_name":"K.I. Ramachandran","orcid":"https://orcid.org/0000-0001-5013-2886"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. I. Ramachandran","raw_affiliation_strings":["Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu, India","Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu-641112, India"],"affiliations":[{"raw_affiliation_string":"Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu, India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham University, Tamilnadu-641112, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077555494"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.7006,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.7381296,"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":"1","last_page":"6"},"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":0.9431999921798706,"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/speech-recognition","display_name":"Speech recognition","score":0.6116966605186462},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5699257850646973},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.5468180179595947},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.533982515335083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49982476234436035},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.49312731623649597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4846063554286957},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.47955629229545593},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4467492699623108},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.43124711513519287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4264235496520996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4082666337490082},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.19938576221466064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12049368023872375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08094549179077148},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.06879475712776184}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6116966605186462},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5699257850646973},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.5468180179595947},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.533982515335083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49982476234436035},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.49312731623649597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4846063554286957},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.47955629229545593},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4467492699623108},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.43124711513519287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4264235496520996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4082666337490082},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.19938576221466064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12049368023872375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08094549179077148},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.06879475712776184},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2015.7084904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2015.7084904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Twenty First National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966895007","https://openalex.org/W1967390037","https://openalex.org/W1992623440","https://openalex.org/W2015208261","https://openalex.org/W2018158463","https://openalex.org/W2018922145","https://openalex.org/W2023441526","https://openalex.org/W2029677531","https://openalex.org/W2039031643","https://openalex.org/W2052118492","https://openalex.org/W2067063385","https://openalex.org/W2073186891","https://openalex.org/W2091904085","https://openalex.org/W2137837503","https://openalex.org/W2145641829","https://openalex.org/W2161709476","https://openalex.org/W6656286728"],"related_works":["https://openalex.org/W1963866720","https://openalex.org/W2118564157","https://openalex.org/W2002496381","https://openalex.org/W2384389642","https://openalex.org/W2150546814","https://openalex.org/W2356737465","https://openalex.org/W2107880197","https://openalex.org/W2368562860","https://openalex.org/W1986719249","https://openalex.org/W2040302182"],"abstract_inverted_index":{"Detection":[0],"and":[1,29,39,65,67,82,118,125,142,150,159,188,205],"classification":[2,30,83,132,207],"of":[3,13,16,31,47,87,98,102,121,136,148,156,166,178,190,202],"heart":[4,17,32,58,68,157],"murmurs":[5,33],"play":[6],"an":[7],"important":[8],"role":[9],"in":[10],"accurate":[11],"diagnosis":[12],"different":[14,154],"types":[15],"dysfunctions.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"present":[23],"a":[24,145,164,176],"noise-robust":[25],"method":[26,45,139,162],"for":[27,56,199],"detection":[28,81],"using":[34,94,144],"stationary":[35],"wavelet":[36],"transform":[37],"(SWT)":[38],"Hilbert":[40,71],"phase":[41,72,100],"envelope.":[42,106],"The":[43,85,107,134,161],"proposed":[44,138],"consists":[46],"five":[48],"major":[49],"stages:":[50],"SWT":[51],"based":[52,74],"PCG":[53],"signal":[54],"decomposition":[55],"identifying":[57],"sound":[59],"(HS)":[60],"including":[61],"S1,":[62],"S2,":[63],"S3":[64],"S4,":[66],"murmur(HM)":[69],"subbands,":[70],"envelope":[73],"boundary":[75],"determination,":[76],"temporal":[77,108],"feature":[78],"extraction,":[79],"murmur":[80,206],"rule.":[84],"boundaries":[86],"local":[88],"acoustic":[89],"HS":[90,124,181],"segments":[91,127,170,182,193],"are":[92,128],"determined":[93],"the":[95,103,122,131,137],"positive":[96],"slope":[97],"instantaneous":[99],"waveform":[101],"smooth":[104],"absolute":[105],"features":[109],"such":[110],"as":[111],"amplitude,":[112],"duration,":[113],"zerocrossing":[114],"rate,":[115],"interval,":[116],"onset":[117],"offset":[119],"time-instants":[120],"detected":[123],"HM":[126,169],"used":[129],"at":[130],"stage.":[133],"performance":[135],"is":[140],"tested":[141],"validated":[143],"wide":[146],"variety":[147],"normal":[149],"pathological":[151],"signals":[152],"containing":[153],"patterns":[155],"sounds":[158],"murmurs.":[160],"achieves":[163],"probability":[165,177,189],"correctly":[167,179],"detecting":[168,180,192],"P":[171,183,194],"<inf":[172,184,195],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[173,185,196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ms</inf>":[174],"=100%,":[175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">hs</inf>":[186],"=97.33%":[187],"falsely":[191],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">fs</inf>":[197],"=1.33%":[198],"SNR":[200],"value":[201],"15":[203],"dB,":[204],"accuracy":[208],"ranging":[209],"from":[210],"82.76%":[211],"to":[212],"100%.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
