{"id":"https://openalex.org/W4411358770","doi":"https://doi.org/10.1109/access.2025.3580584","title":"Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions","display_name":"Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411358770","doi":"https://doi.org/10.1109/access.2025.3580584"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3580584","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3580584","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3580584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lubna Siddiqui","orcid":"https://orcid.org/0000-0002-3559-1213"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lubna Siddiqui","raw_affiliation_strings":["Amity School of Engineering and Technology, Amity University, Noida, India","Amity School of Engineering and Technology, Amity University, India"],"raw_orcid":"https://orcid.org/0000-0002-3559-1213","affiliations":[{"raw_affiliation_string":"Amity School of Engineering and Technology, Amity University, Noida, India","institution_ids":["https://openalex.org/I191972202"]},{"raw_affiliation_string":"Amity School of Engineering and Technology, Amity University, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013190044","display_name":"Ashish Mani","orcid":"https://orcid.org/0000-0002-2312-1185"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashish Mani","raw_affiliation_strings":["Amity Innovation and Design Centre, Amity University, Noida, India","Amity Innovation and Design Centre, Amity University, India"],"raw_orcid":"https://orcid.org/0000-0002-2312-1185","affiliations":[{"raw_affiliation_string":"Amity Innovation and Design Centre, Amity University, Noida, India","institution_ids":["https://openalex.org/I191972202"]},{"raw_affiliation_string":"Amity Innovation and Design Centre, Amity University, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102735594","display_name":"Jaspal Singh","orcid":"https://orcid.org/0000-0003-0197-4109"},"institutions":[{"id":"https://openalex.org/I1331500379","display_name":"Centre for Development of Advanced Computing","ror":"https://ror.org/022abst40","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1331500379","https://openalex.org/I4210121746"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaspal Singh","raw_affiliation_strings":["Centre for Development of Advanced Computing, Mohali, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Development of Advanced Computing, Mohali, India","institution_ids":["https://openalex.org/I1331500379"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.064,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76112767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"106188","last_page":"106200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.824400007724762,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.824400007724762,"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"}},{"id":"https://openalex.org/T10232","display_name":"Optical Network Technologies","score":0.8112999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11429","display_name":"Semiconductor Lasers and Optical Devices","score":0.7558000087738037,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6765564680099487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444965600967407},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5353448987007141},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4843927025794983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43706005811691284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3270278573036194}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6765564680099487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444965600967407},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5353448987007141},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4843927025794983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43706005811691284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3270278573036194},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3580584","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3580584","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bfcaf543c11d4ac6a54519d72bf05b1e","is_oa":true,"landing_page_url":"https://doaj.org/article/bfcaf543c11d4ac6a54519d72bf05b1e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 106188-106200 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3580584","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3580584","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1957646399","https://openalex.org/W1991985130","https://openalex.org/W2007878406","https://openalex.org/W2011611329","https://openalex.org/W2030212703","https://openalex.org/W2055993996","https://openalex.org/W2093376526","https://openalex.org/W2122274805","https://openalex.org/W2131835735","https://openalex.org/W2148099346","https://openalex.org/W2153455505","https://openalex.org/W2229076839","https://openalex.org/W2325476992","https://openalex.org/W2593630061","https://openalex.org/W2742135976","https://openalex.org/W2891129013","https://openalex.org/W2897295437","https://openalex.org/W2901976219","https://openalex.org/W2903014728","https://openalex.org/W2983945933","https://openalex.org/W3017440911","https://openalex.org/W3065965565","https://openalex.org/W3096280610","https://openalex.org/W3116549747","https://openalex.org/W3119612849","https://openalex.org/W3135849576","https://openalex.org/W3193662797","https://openalex.org/W3197664342","https://openalex.org/W3199745385","https://openalex.org/W3216348619","https://openalex.org/W4210713738","https://openalex.org/W4226077517","https://openalex.org/W4235880014","https://openalex.org/W4280528932","https://openalex.org/W4281756667","https://openalex.org/W4285820988","https://openalex.org/W4292112078","https://openalex.org/W4313518248","https://openalex.org/W4322706894","https://openalex.org/W4378473682","https://openalex.org/W4382877687","https://openalex.org/W4385273758","https://openalex.org/W4385694530","https://openalex.org/W4393028562","https://openalex.org/W4394994938","https://openalex.org/W4395057917","https://openalex.org/W4400612699","https://openalex.org/W4405907655","https://openalex.org/W4405975323","https://openalex.org/W6858041017"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W4388819787"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"a":[3,14,91,206,243],"novel":[4],"Quantum-inspired":[5],"Evolutionary":[6],"Algorithm":[7],"(QiEA)":[8],"for":[9,102,111,140,159,174,193],"denoising":[10],"phonocardiogram":[11],"signals":[12,177],"using":[13,26],"fractional-order":[15],"digital":[16],"differentiator":[17],"FIR":[18],"filter":[19,22,49],"(FODD).":[20],"The":[21,36,59,83,199,235],"coefficients":[23],"were":[24,63,109],"optimised":[25],"the":[27,87,95,128,132,147,151,175,202],"proposed":[28,37,88,203],"QiEA":[29],"with":[30],"Adaptive":[31],"Rotation":[32],"Gate":[33],"Operator":[34],"(ARGO).":[35],"algorithm":[38,57,89,204],"accelerates":[39],"convergence":[40],"towards":[41],"optimal":[42],"solutions":[43],"based":[44],"on":[45,228,246],"fitness":[46],"feedback,":[47],"improving":[48],"optimisation":[50],"while":[51],"clamping":[52],"rotation":[53],"angles":[54],"to":[55,226],"maintain":[56],"stability.":[58],"performance":[60],"metrics":[61],"utilised":[62],"Scale-Invariant":[64],"Signal-to-Distortion":[65],"Ratio":[66,69,73],"(SI-SDR),":[67],"Signal-to-Noise":[68,72],"(SNR),":[70],"Peak":[71],"(PSNR),":[74],"Correlation":[75],"Coefficient":[76],"(CC)":[77],"and":[78,113,138,142,156,179,196,250],"Zero":[79],"Crossing":[80],"Rate":[81],"(ZCR).":[82],"results":[84,200,222],"demonstrate":[85],"that":[86],"achieved":[90],"25%":[92],"improvement":[93],"in":[94,98,127,131,162,212,238,253],"SI-SDR":[96,129],"metric":[97,130],"highly":[99,163],"noisy":[100,164],"environments":[101],"pathological":[103,195],"PCG":[104,176],"signals.":[105,198],"Detailed":[106],"comparative":[107],"analyses":[108],"conducted":[110],"single":[112,141],"combined-noise":[114,143],"models":[115,161],"against":[116],"current":[117],"state-of-the-art":[118],"Deep":[119],"learning":[120],"(DL)":[121],"methods.":[122],"It":[123],"exhibited":[124],"an":[125],"increase":[126],"presence":[133,148],"of":[134,149,169,188],"APGN,":[135],"by":[136,154,184],"17%":[137],"24%":[139],"models,":[144],"respectively.":[145],"In":[146],"AWGN,":[150],"output":[152],"increased":[153],"9%":[155],"11%,":[157],"respectively,":[158],"both":[160,194],"environments.":[165],"To":[166],"quantify":[167],"suppression":[168],"noise,":[170],"ZCR":[171,182],"was":[172],"evaluated":[173],"before":[178],"after":[180],"denoising.":[181],"reduced":[183],"98.4%":[185],"revealing":[186],"removal":[187],"high":[189],"frequency":[190],"noise":[191,218],"artifacts":[192],"non-pathological":[197],"position":[201],"as":[205],"data-efficient,":[207],"noise-adaptable":[208],"alternative":[209],"solution":[210],"critical":[211,254],"resource-constrained":[213],"dynamic":[214],"situations":[215],"across":[216],"unseen":[217],"patterns.":[219],"These":[220],"improved":[221],"can":[223,241],"be":[224],"attributed":[225],"reliance":[227],"evolutionary":[229],"strategies":[230],"rather":[231],"than":[232],"learned":[233],"weights.":[234],"findings":[236],"presented":[237],"this":[239],"paper":[240],"have":[242],"significant":[244],"impact":[245],"healthcare":[247],"monitoring":[248],"systems":[249],"real-time":[251],"processing":[252],"systems.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}