{"id":"https://openalex.org/W3158256853","doi":"https://doi.org/10.1109/healthcom49281.2021.9399026","title":"A Novel Segmentation-based Adaptive Feature Extraction Methodology for Discriminating Heart Sounds","display_name":"A Novel Segmentation-based Adaptive Feature Extraction Methodology for Discriminating Heart Sounds","publication_year":2021,"publication_date":"2021-03-01","ids":{"openalex":"https://openalex.org/W3158256853","doi":"https://doi.org/10.1109/healthcom49281.2021.9399026","mag":"3158256853"},"language":"en","primary_location":{"id":"doi:10.1109/healthcom49281.2021.9399026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom49281.2021.9399026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on E-health Networking, Application &amp; Services (HEALTHCOM)","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/A5068604767","display_name":"Shuping Sun","orcid":"https://orcid.org/0000-0003-2712-5199"},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuping Sun","raw_affiliation_strings":["Nanyang Institute of Technology, Nanyang, China"],"affiliations":[{"raw_affiliation_string":"Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082390665","display_name":"Dayong Huang","orcid":"https://orcid.org/0000-0002-7055-4311"},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayong Huang","raw_affiliation_strings":["Nanyang Institute of Technology, Nanyang, China"],"affiliations":[{"raw_affiliation_string":"Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060944715","display_name":"Biqiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biqiang Zhang","raw_affiliation_strings":["Nanyang Institute of Technology, Nanyang, China"],"affiliations":[{"raw_affiliation_string":"Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108223601","display_name":"Tingting Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Huang","raw_affiliation_strings":["Nanyang Institute of Technology, Nanyang, China"],"affiliations":[{"raw_affiliation_string":"Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110935767","display_name":"Peiguang He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiguang He","raw_affiliation_strings":["Nanyang Institute of Technology, Nanyang, China"],"affiliations":[{"raw_affiliation_string":"Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108745939","display_name":"Yan Long","orcid":"https://orcid.org/0009-0006-4579-5857"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Yan","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068604767"],"corresponding_institution_ids":["https://openalex.org/I4210115515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06993505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"7"},"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/T11309","display_name":"Music and Audio Processing","score":0.9334999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5709877014160156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49185681343078613},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4909854233264923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.477247953414917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3409927189350128}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5709877014160156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49185681343078613},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4909854233264923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.477247953414917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3409927189350128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/healthcom49281.2021.9399026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom49281.2021.9399026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on E-health Networking, Application &amp; Services (HEALTHCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2021684158","https://openalex.org/W2052118492","https://openalex.org/W2070104915","https://openalex.org/W2077849306","https://openalex.org/W2095396815","https://openalex.org/W2098082628","https://openalex.org/W2112440119","https://openalex.org/W2121471263","https://openalex.org/W2547550709","https://openalex.org/W2551948076","https://openalex.org/W2593630061","https://openalex.org/W2798749578","https://openalex.org/W2805713564","https://openalex.org/W2885000422","https://openalex.org/W2887526024","https://openalex.org/W2890117101","https://openalex.org/W2900789802","https://openalex.org/W2909579588","https://openalex.org/W2983603333","https://openalex.org/W3099226033","https://openalex.org/W4301689241","https://openalex.org/W6769841316"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640"],"abstract_inverted_index":{"To":[0],"utilize":[1],"heart":[2,23,43,53,154,171,192],"sound":[3,44,54,63,155,172],"features":[4,87,167,188],"that":[5],"may":[6],"vary":[7],"according":[8],"to":[9,21,117,149,173],"their":[10],"suitability":[11],"for":[12,168],"segmentation,":[13],"automatic":[14,35,66,162],"adaptive":[15,166],"feature":[16,72],"extraction":[17,38,67,163],"methodology":[18,29,123],"is":[19,30,147],"proposed":[20],"discriminate":[22],"sounds.":[24],"The":[25,177],"innovation":[26],"of":[27,39,68,84,120,164,186],"this":[28],"primarily":[31],"reflected":[32],"in":[33],"the":[34,40,69,85,118,121,131,145,170,174,183,187,191],"segmentation":[36],"and":[37,50,65,98,141,144,197],"first":[41],"complex":[42,52],"(CS":[45,55],"<sub":[46,56,74,79,89,94,100,105,110],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[47,57,75,80,90,95,101,106,111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[48,76],")":[49,59],"second":[51],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[58,81],"or":[60,77],"each":[61],"cardiac":[62],"(CS),":[64],"segmentation-based":[70,165],"frequency":[71,175],"FF":[73,78],",":[82,92,103,108],"determination":[83],"diagnostic":[86],"[\u03b3":[88,99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">11</sub>":[91],"\u03b3":[93,104,109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">12</sub>":[96],"]":[97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">21</sub>":[102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">22</sub>":[107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">23</sub>":[112],"].":[113],"Two":[114],"stages":[115],"corresponding":[116],"implementation":[119],"novel":[122],"are":[124,138],"summarized":[125],"as":[126],"follows.":[127],"In":[128],"stage":[129],"1,":[130],"time":[132],"intervals":[133],"between":[134],"two":[135],"sequential":[136],"peaks":[137],"automatically":[139],"calculated":[140],"statistically":[142],"analyzed,":[143],"result":[146],"used":[148],"determine":[150],"whether":[151],"a":[152],"given":[153],"can":[156],"be":[157],"segmented.":[158],"Stage":[159],"2":[160],"involves":[161],"adapting":[169],"domain.":[176],"performance":[178],"evaluation":[179],"was":[180],"validated":[181],"using":[182],"scatter":[184],"diagrams":[185],"extracted":[189],"from":[190,194],"sounds":[193],"online":[195],"databases":[196],"clinical":[198],"databases.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}