{"id":"https://openalex.org/W2892274518","doi":"https://doi.org/10.1109/icassp.2018.8462604","title":"Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram","display_name":"Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2892274518","doi":"https://doi.org/10.1109/icassp.2018.8462604","mag":"2892274518"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5103033933","display_name":"Rohan Banerjee","orcid":"https://orcid.org/0000-0003-2816-3736"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohan Banerjee","raw_affiliation_strings":["Research and Innovation, Tata Consultancy Services"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Innovation, Tata Consultancy Services","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045988985","display_name":"Sakyajit Bhattacharya","orcid":"https://orcid.org/0009-0008-9648-6354"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sakyajit Bhattacharya","raw_affiliation_strings":["Research and Innovation, Tata Consultancy Services"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Innovation, Tata Consultancy Services","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101865976","display_name":"Shahnawaz Alam","orcid":"https://orcid.org/0000-0002-0656-3571"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shahnawaz Alam","raw_affiliation_strings":["Research and Innovation, Tata Consultancy Services"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Innovation, Tata Consultancy Services","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0916,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88527487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"950","last_page":"954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9995999932289124,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.8111782073974609},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6693879961967468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.663663387298584},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6530069708824158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6376082897186279},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.6205461621284485},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6026982069015503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5736774802207947},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.5503702163696289},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5159855484962463},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5155239105224609},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1988220512866974},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13769644498825073},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09428432583808899},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09209620952606201},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08483558893203735}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.8111782073974609},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6693879961967468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.663663387298584},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6530069708824158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376082897186279},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.6205461621284485},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6026982069015503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5736774802207947},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.5503702163696289},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5159855484962463},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5155239105224609},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1988220512866974},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13769644498825073},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09428432583808899},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09209620952606201},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08483558893203735},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1628420377","https://openalex.org/W1807435823","https://openalex.org/W1989280111","https://openalex.org/W1995495781","https://openalex.org/W2040770843","https://openalex.org/W2046788142","https://openalex.org/W2047463227","https://openalex.org/W2092313860","https://openalex.org/W2094373571","https://openalex.org/W2147609545","https://openalex.org/W2162800060","https://openalex.org/W2165700458","https://openalex.org/W2293760672","https://openalex.org/W2519598732","https://openalex.org/W2522027325","https://openalex.org/W2756296795","https://openalex.org/W2800369311","https://openalex.org/W6636454242","https://openalex.org/W6638342570","https://openalex.org/W6726637473","https://openalex.org/W6750631271"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W1540261775","https://openalex.org/W4200107443","https://openalex.org/W4239033438","https://openalex.org/W1968279762","https://openalex.org/W4318970012","https://openalex.org/W2170552210"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,27],"feature":[6,52],"extraction":[7],"algorithm":[8],"for":[9,67,84],"classifying":[10],"Coronary":[11],"Artery":[12],"Disease":[13],"(CAD)":[14],"patients":[15,112],"from":[16],"Photoplethysmogram":[17],"(PPG)":[18],"signals.":[19],"Several":[20],"domain-independent":[21],"features,":[22],"representing":[23],"inherent":[24],"properties":[25],"of":[26,78,105],"time":[28],"series":[29],"are":[30,36],"explored":[31],"in":[32,109],"our":[33],"study.":[34],"These":[35],"combined":[37],"with":[38],"Heart":[39],"Rate":[40],"Variability":[41],"(HRV)":[42],"and":[43,69,103,113],"other":[44],"popularly":[45],"used":[46,83],"morphological":[47],"PPG":[48],"features.":[49,73],"A":[50,74],"statistical":[51],"selection":[53],"algorithm,":[54],"based":[55],"on":[56,63,123],"Maximal":[57],"Information":[58],"Coefficient":[59],"(MIC)":[60],"is":[61,82],"applied":[62,122],"MIMIC":[64],"II":[65],"dataset":[66,77],"ranking":[68],"choosing":[70],"the":[71,97,124],"optimum":[72],"second":[75],"hospital":[76],"different":[79],"patient":[80],"demography":[81],"performance":[85],"evaluation.":[86],"Results":[87],"show":[88],"that,":[89],"Support":[90],"Vector":[91],"Machine":[92],"(SVM)":[93],"classifier,":[94],"designed":[95],"using":[96],"selected":[98],"features":[99],"yields":[100],"average":[101],"sensitivity":[102],"specificity":[104],"more":[106],"than":[107],"0.8":[108],"identifying":[110],"CAD":[111],"also":[114],"outperforms":[115],"two":[116],"recent":[117],"prior":[118],"art":[119],"approaches":[120],"when":[121],"test":[125],"dataset.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}