{"id":"https://openalex.org/W2040534868","doi":"https://doi.org/10.1109/icdsp.2009.5201109","title":"Human identity verification based on Mel frequency analysis of digital heart sounds","display_name":"Human identity verification based on Mel frequency analysis of digital heart sounds","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2040534868","doi":"https://doi.org/10.1109/icdsp.2009.5201109","mag":"2040534868"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2009.5201109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","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/A5031831256","display_name":"Francesco Beritelli","orcid":"https://orcid.org/0000-0003-1606-7608"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Beritelli","raw_affiliation_strings":["Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, Universita Catania, Italy","Dipartimento di Ingegneria Informatica e, delle Telecomunicazioni, University of Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, Universita Catania, Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Informatica e, delle Telecomunicazioni, University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022500776","display_name":"Andrea Spadaccini","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Spadaccini","raw_affiliation_strings":["Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, Universita Catania, Italy","Dipartimento di Ingegneria Informatica e, delle Telecomunicazioni, University of Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, Universita Catania, Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Informatica e, delle Telecomunicazioni, University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7365,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.85282988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9977999925613403,"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/T11309","display_name":"Music and Audio Processing","score":0.9965000152587891,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8520874977111816},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6494179368019104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6290048956871033},{"id":"https://openalex.org/keywords/chirp","display_name":"Chirp","score":0.6100547313690186},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6019704341888428},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5759297609329224},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.567323625087738},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5132849216461182},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4726352095603943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4558176100254059},{"id":"https://openalex.org/keywords/heart-sounds","display_name":"Heart sounds","score":0.4290349781513214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4012306332588196},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.31955772638320923},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1375669538974762},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10166040062904358}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8520874977111816},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6494179368019104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6290048956871033},{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.6100547313690186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6019704341888428},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5759297609329224},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.567323625087738},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5132849216461182},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4726352095603943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4558176100254059},{"id":"https://openalex.org/C2779435589","wikidata":"https://www.wikidata.org/wiki/Q967103","display_name":"Heart sounds","level":2,"score":0.4290349781513214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4012306332588196},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31955772638320923},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1375669538974762},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10166040062904358},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2009.5201109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","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":6,"referenced_works":["https://openalex.org/W84813673","https://openalex.org/W2006833659","https://openalex.org/W2056500480","https://openalex.org/W2136052425","https://openalex.org/W2148154194","https://openalex.org/W2164053975"],"related_works":["https://openalex.org/W2943111417","https://openalex.org/W2945887346","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W2012393389","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2138847091"],"abstract_inverted_index":{"This":[0],"paper":[1,18],"presents":[2],"new":[3,59],"results":[4],"in":[5],"human":[6],"identity":[7],"verification":[8],"via":[9],"frequency":[10],"analysis":[11],"of":[12,29,54],"cardiac":[13],"sounds.":[14],"More":[15],"specifically,":[16],"the":[17,38,51,68,73],"proposes":[19],"a":[20,26,47],"pattern":[21],"recognition":[22],"approach":[23],"based":[24,49,71],"on":[25,50,72],"feature":[27],"set":[28],"13":[30],"Mel":[31],"Frequency":[32],"Cepstral":[33],"Coefficients":[34],"(MFCCs)":[35],"extracted":[36],"from":[37],"first":[39],"(S1)":[40],"and":[41,46],"second":[42],"(S2)":[43],"heart":[44],"sounds":[45],"metric":[48],"power":[52],"ratio":[53],"S1":[55],"to":[56,67],"S2.":[57],"The":[58],"algorithm":[60],"yields":[61],"significantly":[62],"better":[63],"performances":[64],"with":[65],"respect":[66],"previous":[69],"method":[70],"Chirp":[74],"z-transform,":[75],"guaranteeing":[76],"an":[77],"equal":[78],"error":[79],"rate":[80],"(EER)":[81],"below":[82],"9%.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
