{"id":"https://openalex.org/W4408863202","doi":"https://doi.org/10.1109/icca62237.2024.10927981","title":"Analysis of Systolic Murmurs in Heart Sounds Using Multiresolution Complex Gabor Dictionary","display_name":"Analysis of Systolic Murmurs in Heart Sounds Using Multiresolution Complex Gabor Dictionary","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4408863202","doi":"https://doi.org/10.1109/icca62237.2024.10927981"},"language":"en","primary_location":{"id":"doi:10.1109/icca62237.2024.10927981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10927981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","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/A5007282822","display_name":"Mahmoud Fakhry","orcid":"https://orcid.org/0000-0002-2170-2998"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mahmoud Fakhry","raw_affiliation_strings":["Carlos III University of Madrid,Department of Signal Theory and Communications,Leganes (Madrid),Spain,28911"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlos III University of Madrid,Department of Signal Theory and Communications,Leganes (Madrid),Spain,28911","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065719579","display_name":"Ascensi\u00f3n Gallardo-Antol\u00edn","orcid":"https://orcid.org/0000-0002-9322-3128"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ascensi\u00f3n Gallardo-Antol\u00edn","raw_affiliation_strings":["Carlos III University of Madrid,Department of Signal Theory and Communications,Leganes (Madrid),Spain,28911"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carlos III University of Madrid,Department of Signal Theory and Communications,Leganes (Madrid),Spain,28911","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4366622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9897000193595886,"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":0.9897000193595886,"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/speech-recognition","display_name":"Speech recognition","score":0.5334256887435913},{"id":"https://openalex.org/keywords/heart-sounds","display_name":"Heart sounds","score":0.5029270052909851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47430136799812317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4155263900756836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3430672287940979},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.20394960045814514},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11193573474884033}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5334256887435913},{"id":"https://openalex.org/C2779435589","wikidata":"https://www.wikidata.org/wiki/Q967103","display_name":"Heart sounds","level":2,"score":0.5029270052909851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47430136799812317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4155263900756836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3430672287940979},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.20394960045814514},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11193573474884033}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca62237.2024.10927981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10927981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4079952795","display_name":null,"funder_award_id":"MICIU/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W383702619","https://openalex.org/W1519227462","https://openalex.org/W1650958574","https://openalex.org/W2006500012","https://openalex.org/W2012784465","https://openalex.org/W2027130144","https://openalex.org/W2075395068","https://openalex.org/W2079879762","https://openalex.org/W2105644147","https://openalex.org/W2130331495","https://openalex.org/W2131377971","https://openalex.org/W2151693816","https://openalex.org/W2492699119","https://openalex.org/W2971230710","https://openalex.org/W2989372219","https://openalex.org/W3175803234","https://openalex.org/W3191193899","https://openalex.org/W4237805639","https://openalex.org/W4246352510","https://openalex.org/W4317791936","https://openalex.org/W4385624274","https://openalex.org/W4388508151","https://openalex.org/W6713810378"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,36,54,123],"automatic":[1],"diagnosis":[2],"of":[3,10,39,75,86,92,115,126,130,140],"heart":[4,28,132],"problems":[5],"requires":[6],"a":[7,19,31,65,70,127],"deep":[8],"understanding":[9],"murmurs":[11,26,133],"that":[12],"indicate":[13],"various":[14,45,116],"cardiac":[15],"pathologies.":[16],"We":[17,81],"propose":[18],"novel":[20],"analysis":[21,125,143],"method":[22],"focusing":[23],"on":[24],"systolic":[25,66,117,131],"in":[27,73,78],"sounds,":[29],"using":[30],"multiresolution":[32],"complex":[33,55,71],"Gabor":[34,42],"dictionary.":[35,80],"dictionary":[37,144],"consists":[38],"localized":[40],"complex-valued":[41],"functions":[43,77],"with":[44,134],"time-frequency":[46],"scales":[47],"or":[48],"resolutions,":[49],"enabling":[50],"detailed":[51],"signal":[52],"examination.":[53],"orthogonal":[56],"matching":[57],"pursuit":[58],"(COMP)":[59],"algorithm":[60],"is":[61],"used":[62],"to":[63,98],"represent":[64],"murmur":[67],"segment":[68],"as":[69],"vector":[72,94],"terms":[74],"the":[76,79,84,87,93,113,138,141],"then":[82],"calculate":[83],"energy":[85,101],"real":[88],"and":[89,145],"imaginary":[90],"components":[91],"for":[95,103,110],"each":[96],"resolution":[97],"create":[99],"an":[100],"distribution":[102],"all":[104],"scales.":[105],"Analyzing":[106],"these":[107],"distributions":[108],"allows":[109],"effectively":[111],"identifying":[112],"patterns":[114,136],"murmurs,":[118],"which":[119],"improves":[120],"diagnostic":[121],"accuracy.":[122],"experimental":[124],"dataset":[128],"composed":[129],"four":[135],"proves":[137],"effectiveness":[139],"proposed":[142],"methodology.":[146]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
