{"id":"https://openalex.org/W4416726362","doi":"https://doi.org/10.1109/mwscas53549.2025.11244490","title":"Heart Abnormality Detection from Phonocardiogram Signals Using Reservoir Computing","display_name":"Heart Abnormality Detection from Phonocardiogram Signals Using Reservoir Computing","publication_year":2025,"publication_date":"2025-08-10","ids":{"openalex":"https://openalex.org/W4416726362","doi":"https://doi.org/10.1109/mwscas53549.2025.11244490"},"language":null,"primary_location":{"id":"doi:10.1109/mwscas53549.2025.11244490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas53549.2025.11244490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5104124558","display_name":"Tushar Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tushar Gupta","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021946088","display_name":"Vasundhara Damodaran","orcid":"https://orcid.org/0000-0002-6138-0241"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasundhara Damodaran","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071051237","display_name":"Jose Sanchez","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose Sanchez","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005496543","display_name":"Arindam Sanyal","orcid":"https://orcid.org/0000-0003-4045-6291"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arindam Sanyal","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University,Tempe,AZ,USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87377916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.6539999842643738,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.6539999842643738,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.1234000027179718,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.014800000004470348,"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/phonocardiogram","display_name":"Phonocardiogram","score":0.9872999787330627},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6575000286102295},{"id":"https://openalex.org/keywords/heart-sounds","display_name":"Heart sounds","score":0.5031999945640564},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.38260000944137573},{"id":"https://openalex.org/keywords/bioacoustics","display_name":"Bioacoustics","score":0.3813999891281128},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3458999991416931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.321399986743927}],"concepts":[{"id":"https://openalex.org/C159693508","wikidata":"https://www.wikidata.org/wiki/Q3301075","display_name":"Phonocardiogram","level":2,"score":0.9872999787330627},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6575000286102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170999765396118},{"id":"https://openalex.org/C2779435589","wikidata":"https://www.wikidata.org/wiki/Q967103","display_name":"Heart sounds","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40450000762939453},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C34951282","wikidata":"https://www.wikidata.org/wiki/Q864191","display_name":"Bioacoustics","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3440000116825104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.326200008392334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3197999894618988},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.296099990606308},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C2779736815","wikidata":"https://www.wikidata.org/wiki/Q1130519","display_name":"valvular heart disease","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.26460000872612},{"id":"https://openalex.org/C2779812945","wikidata":"https://www.wikidata.org/wiki/Q1162673","display_name":"Holter monitor","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas53549.2025.11244490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas53549.2025.11244490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4005699382","display_name":null,"funder_award_id":"3160.033","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G5218563500","display_name":"SCH: Artificial Intelligence enabled multi-modal sensor platform for at-home health monitoring of patients","funder_award_id":"5r01eb035403-02","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1965702053","https://openalex.org/W2004296335","https://openalex.org/W2086659790","https://openalex.org/W2185491959","https://openalex.org/W2320696484","https://openalex.org/W2592046076","https://openalex.org/W2593572754","https://openalex.org/W2797806857","https://openalex.org/W2894771803","https://openalex.org/W2898551707","https://openalex.org/W2905059955","https://openalex.org/W2907893436","https://openalex.org/W2911149048","https://openalex.org/W2945997721","https://openalex.org/W2963461769","https://openalex.org/W2979158918","https://openalex.org/W2983115849","https://openalex.org/W2990674182","https://openalex.org/W3003299879","https://openalex.org/W3053219234","https://openalex.org/W3081320461","https://openalex.org/W3083640469","https://openalex.org/W3122976726","https://openalex.org/W3135060602","https://openalex.org/W3211795635","https://openalex.org/W4225754783","https://openalex.org/W4248397256","https://openalex.org/W4376130880","https://openalex.org/W4387197161","https://openalex.org/W4405709610"],"related_works":[],"abstract_inverted_index":{"Heart":[0,14],"disease":[1],"is":[2,63],"one":[3],"of":[4,8],"the":[5,54,66],"major":[6],"causes":[7],"mortality":[9],"worldwide":[10],"and":[11,37,56],"in":[12,59,75],"USA.":[13],"sound":[15],"signals":[16],"recorded":[17],"as":[18,65],"phonocardiogram":[19],"(PCG)":[20],"provide":[21],"valuable":[22],"insights":[23],"into":[24,47],"cardiac":[25,35],"health.":[26],"This":[27],"work":[28],"presents":[29],"a":[30],"solution":[31],"for":[32,49],"monitoring":[33],"user":[34],"health":[36],"detecting":[38,80],"abnormalities":[39,82],"from":[40],"PCG":[41],"using":[42],"artificial":[43],"intelligence":[44],"(AI)":[45],"embedded":[46],"wearable":[48,60],"on-device":[50],"monitoring.":[51],"To":[52],"meet":[53],"power":[55],"area":[57],"constraints":[58],"sensors,":[61],"reservoircomputing":[62],"used":[64],"AI":[67],"module.":[68],"An":[69],"analog":[70],"reservoircomputer":[71],"(RC)":[72],"test-chip":[73],"fabricated":[74],"28nm":[76],"consumes":[77],"23.5nJ":[78],"while":[79],"heart":[81],"with":[83],"88.2%":[84],"accuracy.":[85]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-11-25T00:00:00"}