{"id":"https://openalex.org/W4385482256","doi":"https://doi.org/10.1109/ecai58194.2023.10194077","title":"Graph Signal Processing Based Classification of Noisy and Clean PPG Signals Using Machine Learning Classifiers for Intelligent Health Monitor","display_name":"Graph Signal Processing Based Classification of Noisy and Clean PPG Signals Using Machine Learning Classifiers for Intelligent Health Monitor","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4385482256","doi":"https://doi.org/10.1109/ecai58194.2023.10194077"},"language":"en","primary_location":{"id":"doi:10.1109/ecai58194.2023.10194077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai58194.2023.10194077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","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/A5092581187","display_name":"Sai Priyanka Surapaneni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113248","display_name":"Indian Institute of Technology Palakkad","ror":"https://ror.org/0264cg909","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210113248"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sai Priyanka Surapaneni","raw_affiliation_strings":["Indian Institute of Technology Palakkad,Department of Computer Science and Engineering,Palakkad,Kerala,India,678623"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Palakkad,Department of Computer Science and Engineering,Palakkad,Kerala,India,678623","institution_ids":["https://openalex.org/I4210113248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062664549","display_name":"M. Sabarimalai Manikandan","orcid":"https://orcid.org/0000-0001-6878-4911"},"institutions":[{"id":"https://openalex.org/I4210113248","display_name":"Indian Institute of Technology Palakkad","ror":"https://ror.org/0264cg909","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210113248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Sabarimalai Manikandan","raw_affiliation_strings":["Indian Institute of Technology Palakkad,Department of Electrical Engineering,Palakkad,Kerala,India,678623"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Palakkad,Department of Electrical Engineering,Palakkad,Kerala,India,678623","institution_ids":["https://openalex.org/I4210113248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092581187"],"corresponding_institution_ids":["https://openalex.org/I4210113248"],"apc_list":null,"apc_paid":null,"fwci":0.6758,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64972456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9968000054359436,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709255576133728},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6015800833702087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446086525917053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4729464054107666},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4550609588623047},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3952704966068268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3580399751663208},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.29547804594039917},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.11395725607872009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709255576133728},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6015800833702087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446086525917053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4729464054107666},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4550609588623047},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3952704966068268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3580399751663208},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.29547804594039917},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.11395725607872009},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecai58194.2023.10194077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai58194.2023.10194077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2036554628","https://openalex.org/W2055538060","https://openalex.org/W2083872334","https://openalex.org/W2121034421","https://openalex.org/W2159348352","https://openalex.org/W2294418644","https://openalex.org/W2396881363","https://openalex.org/W2513036905","https://openalex.org/W2552408385","https://openalex.org/W2563173059","https://openalex.org/W2734456019","https://openalex.org/W2908782176","https://openalex.org/W2937543702","https://openalex.org/W2944944151","https://openalex.org/W2947904245","https://openalex.org/W2954708553","https://openalex.org/W2963768879","https://openalex.org/W3005358554","https://openalex.org/W3037464734","https://openalex.org/W3082957684","https://openalex.org/W3127615622","https://openalex.org/W3135385142","https://openalex.org/W3168417671","https://openalex.org/W3200561702","https://openalex.org/W3206929260","https://openalex.org/W4206973039","https://openalex.org/W4210389723","https://openalex.org/W4220874301","https://openalex.org/W4225607561","https://openalex.org/W4293253161","https://openalex.org/W4327662931","https://openalex.org/W4366967468","https://openalex.org/W6712503630","https://openalex.org/W6731031070","https://openalex.org/W6761898732"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W4386462264"],"abstract_inverted_index":{"Photoplethysmography":[0],"(PPG)":[1],"signals":[2,54],"play":[3],"an":[4,135,157],"important":[5],"role":[6],"for":[7,50],"automatic":[8,41],"measurement":[9],"of":[10,23,43,88,122,138,148,159,165],"pulse":[11],"rate,":[12],"blood":[13,16],"pressure,":[14],"non-invasive":[15],"glucose":[17],"level":[18],"and":[19,33,55,92],"respiration":[20],"rate.":[21],"Most":[22],"the":[24,61,77,83,89,129],"PPG":[25,37,44,53,69,90],"monitoring":[26],"devices":[27],"are":[28],"prone":[29],"to":[30,60,170],"motion":[31],"artifacts":[32],"noises":[34],"under":[35],"different":[36,94],"recording":[38],"conditions.":[39],"Thus,":[40],"assessment":[42,72],"signal":[45,70,91],"quality":[46,71],"is":[47],"most":[48],"essential":[49],"discarding":[51],"unacceptable":[52],"reducing":[56],"false":[57],"alarms":[58],"due":[59],"noisy":[62],"measurements.":[63],"This":[64],"paper":[65],"presents":[66],"a":[67,119],"new":[68],"(SQA)":[73],"method":[74,133,155],"by":[75],"using":[76],"average":[78],"degree":[79],"feature":[80],"extracted":[81],"from":[82],"horizontal":[84],"visibility":[85],"graph":[86],"(HVG)":[87],"six":[93],"classifiers":[95],"such":[96],"as":[97,168],"random":[98],"forest":[99],"(RF),":[100],"Naive":[101],"Bayes":[102],"(NB),":[103],"decision":[104],"tree":[105],"(DT),":[106],"support":[107],"vector":[108],"machine":[109],"(SVM),":[110],"multilayer":[111],"perceptron":[112],"(MLP),":[113],"convolutional":[114],"neural":[115],"network":[116],"(CNN).":[117],"On":[118],"wide":[120],"variety":[121],"standard":[123],"databases,":[124],"evaluation":[125],"results":[126],"show":[127],"that":[128,140],"CNN":[130],"based":[131,153],"SQA":[132,144,154,172],"had":[134,156],"overall":[136,149],"accuracy":[137,158],"99.24%":[139],"outperforms":[141],"other":[142,171],"five":[143],"methods":[145],"in":[146],"terms":[147],"accuracy.":[150],"The":[151],"NB":[152],"99.21%":[160],"with":[161],"lower":[162],"memory":[163],"space":[164],"1":[166],"kB":[167],"compared":[169],"methods.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
