{"id":"https://openalex.org/W7123352673","doi":"https://doi.org/10.1109/icspis67605.2025.11318411","title":"PCG Classification for Diseases Detection: Windowing vs. Heart Cycle Segmentation","display_name":"PCG Classification for Diseases Detection: Windowing vs. Heart Cycle Segmentation","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7123352673","doi":"https://doi.org/10.1109/icspis67605.2025.11318411"},"language":"en","primary_location":{"id":"doi:10.1109/icspis67605.2025.11318411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis67605.2025.11318411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Signal Processing and Information Security (ICSPIS)","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/A5122880616","display_name":"Elhocine Boutellaa","orcid":null},"institutions":[{"id":"https://openalex.org/I3121272148","display_name":"University of Boumerdes","ror":"https://ror.org/02dveg925","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3121272148"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Elhocine Boutellaa","raw_affiliation_strings":["University M’Hamed Bougara,Institute of Electrical Engineering and Electronics,Boumerdes,Algeria"],"affiliations":[{"raw_affiliation_string":"University M’Hamed Bougara,Institute of Electrical Engineering and Electronics,Boumerdes,Algeria","institution_ids":["https://openalex.org/I3121272148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122847980","display_name":"Aymen Abderraouf Rahmani","orcid":null},"institutions":[{"id":"https://openalex.org/I3121272148","display_name":"University of Boumerdes","ror":"https://ror.org/02dveg925","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3121272148"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Aymen Abderraouf Rahmani","raw_affiliation_strings":["University M’Hamed Bougara,Institute of Electrical Engineering and Electronics,Boumerdes,Algeria"],"affiliations":[{"raw_affiliation_string":"University M’Hamed Bougara,Institute of Electrical Engineering and Electronics,Boumerdes,Algeria","institution_ids":["https://openalex.org/I3121272148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022237927","display_name":"Rachid Namane","orcid":"https://orcid.org/0000-0002-0946-9636"},"institutions":[{"id":"https://openalex.org/I3121272148","display_name":"University of Boumerdes","ror":"https://ror.org/02dveg925","country_code":"DZ","type":"education","lineage":["https://openalex.org/I3121272148"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Rachid Namane","raw_affiliation_strings":["University M’Hamed Bougara,Institute of Electrical Engineering and Electronics,Boumerdes,Algeria"],"affiliations":[{"raw_affiliation_string":"University M’Hamed Bougara,Institute of Electrical Engineering and Electronics,Boumerdes,Algeria","institution_ids":["https://openalex.org/I3121272148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110953529","display_name":"Sid Ahmed Fezza","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116811","display_name":"Institut National des T\u00e9l\u00e9communications et des Technologies de l'Information et de la Communication","ror":"https://ror.org/023rzn231","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210116811"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Sid Ahmed Fezza","raw_affiliation_strings":["National Higher School of Telecommunications and ICT,Oran,Algeria"],"affiliations":[{"raw_affiliation_string":"National Higher School of Telecommunications and ICT,Oran,Algeria","institution_ids":["https://openalex.org/I4210116811"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122898477","display_name":"Abdenour Hadid","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141120","display_name":"Sorbonne University Abu Dhabi","ror":"https://ror.org/03e1ymy32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210141120"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Abdenour Hadid","raw_affiliation_strings":["Sorbonne University Abu Dhabi,Sorbonne Center for Artificial Intelligence,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"Sorbonne University Abu Dhabi,Sorbonne Center for Artificial Intelligence,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I4210141120"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5122880616"],"corresponding_institution_ids":["https://openalex.org/I3121272148"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73749988,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9818999767303467,"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":0.9818999767303467,"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":0.005200000014156103,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8120999932289124},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5525000095367432},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4683000147342682},{"id":"https://openalex.org/keywords/phonocardiogram","display_name":"Phonocardiogram","score":0.4327999949455261},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4189999997615814},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4083000123500824}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8120999932289124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6552000045776367},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C159693508","wikidata":"https://www.wikidata.org/wiki/Q3301075","display_name":"Phonocardiogram","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4050999879837036},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3824999928474426},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36079999804496765},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C2779435589","wikidata":"https://www.wikidata.org/wiki/Q967103","display_name":"Heart sounds","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2924000024795532}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icspis67605.2025.11318411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis67605.2025.11318411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 8th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05490387v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05490387","pdf_url":null,"source":{"id":"https://openalex.org/S4406922398","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025 8th International Conference on Signal Processing and Information Security (ICSPIS), Nov 2025, Dubai, United Arab Emirates. IEEE, pp.1-6, 2026, ⟨10.1109/ICSPIS67605.2025.11318411⟩","raw_type":"Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cardiovascular":[0],"diseases":[1,36],"are":[2,99],"a":[3,68],"global":[4],"health":[5],"concern":[6],"and":[7,15,63],"developing":[8],"automatic":[9],"detection":[10],"tools":[11],"ensures":[12],"fast":[13],"diagnosis":[14],"helps":[16],"improving":[17],"the":[18,26,32,51,80,88,105],"patient\u2019s":[19],"conditions.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,39,56],"address":[25],"problem":[27],"of":[28,34,79],"PCG":[29,81,106],"classification":[30],"for":[31,44],"purpose":[33],"cardiovascular":[35],"detection,":[37],"where":[38],"employ":[40],"deep":[41],"neural":[42,71],"networks":[43],"classification.":[45],"We":[46,66,83],"pay":[47],"particular":[48],"attention":[49],"to":[50],"audio":[52,59],"segmentation":[53,60,107],"modules.":[54],"Specifically,":[55],"investigate":[57],"two":[58],"approaches:":[61],"windowing":[62],"heat":[64],"cycles.":[65],"design":[67],"hybrid":[69],"CNN-LSTM":[70],"network":[72],"which":[73],"operates":[74],"on":[75,87,104],"Mel-frequency":[76],"cepstral":[77],"coefficients":[78],"segments.":[82],"evaluate":[84],"our":[85],"contributions":[86],"publicly":[89],"available":[90],"heart":[91],"sounds":[92],"dataset":[93],"PhysioNet":[94],"2016.":[95],"The":[96],"obtained":[97],"results":[98],"promising,":[100],"provides":[101],"useful":[102],"insights":[103],"approach.":[108]},"counts_by_year":[],"updated_date":"2026-01-14T00:46:21.520733","created_date":"2026-01-14T00:00:00"}