{"id":"https://openalex.org/W2554431896","doi":"https://doi.org/10.1109/spcom.2016.7746621","title":"Low-complexity detection and classification of ECG noises for automated ECG analysis system","display_name":"Low-complexity detection and classification of ECG noises for automated ECG analysis system","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2554431896","doi":"https://doi.org/10.1109/spcom.2016.7746621","mag":"2554431896"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2016.7746621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2016.7746621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Signal Processing and Communications (SPCOM)","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/A5056883826","display_name":"Udit Satija","orcid":"https://orcid.org/0000-0002-3851-765X"},"institutions":[{"id":"https://openalex.org/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Udit Satija","raw_affiliation_strings":["School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017476957","display_name":"Barathram Ramkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Barathram Ramkumar","raw_affiliation_strings":["School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]}]},{"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/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Sabarimalai Manikandan","raw_affiliation_strings":["School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056883826"],"corresponding_institution_ids":["https://openalex.org/I99729588"],"apc_list":null,"apc_paid":null,"fwci":1.9799,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88060381,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9987000226974487,"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":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.7389624118804932},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6535219550132751},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.6337456703186035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5983738303184509},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5905225276947021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5252183079719543},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.49108171463012695},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.48996368050575256},{"id":"https://openalex.org/keywords/remote-patient-monitoring","display_name":"Remote patient monitoring","score":0.441806823015213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10343658924102783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09732615947723389},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09355595707893372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389624118804932},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6535219550132751},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6337456703186035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5983738303184509},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5905225276947021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5252183079719543},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.49108171463012695},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.48996368050575256},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.441806823015213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10343658924102783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09732615947723389},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09355595707893372},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom.2016.7746621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2016.7746621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4399999976158142,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1580851578","https://openalex.org/W1909332241","https://openalex.org/W1980468115","https://openalex.org/W2023441526","https://openalex.org/W2027381571","https://openalex.org/W2032639994","https://openalex.org/W2038240305","https://openalex.org/W2043365522","https://openalex.org/W2049755262","https://openalex.org/W2053688325","https://openalex.org/W2085582710","https://openalex.org/W2112320278","https://openalex.org/W2122930900","https://openalex.org/W2131496831","https://openalex.org/W2150570936","https://openalex.org/W2316075464","https://openalex.org/W6634377590","https://openalex.org/W6663808009","https://openalex.org/W6671991184","https://openalex.org/W6682288158"],"related_works":["https://openalex.org/W2003734918","https://openalex.org/W3215841148","https://openalex.org/W2805791621","https://openalex.org/W2789183689","https://openalex.org/W2124864282","https://openalex.org/W2033914206","https://openalex.org/W2146076056","https://openalex.org/W2999645641","https://openalex.org/W2029887827","https://openalex.org/W2124445565"],"abstract_inverted_index":{"Automated":[0],"detection":[1,43],"and":[2,31,71,92,107,110,119,124,133,141,151,169],"classification":[3],"of":[4,17,23,139,162,167,173],"electrocardiogram":[5],"(ECG)":[6],"noise":[7,81],"sources":[8],"can":[9],"play":[10],"a":[11,65,136],"crucial":[12],"role":[13],"in":[14,60],"reliable":[15],"measurement":[16],"ECG":[18,74,143],"parameters":[19],"for":[20,50,53,68,175],"accurate":[21],"diagnosis":[22],"cardiovascular":[24],"diseases":[25],"(CVDs)":[26],"under":[27],"unsupervised":[28],"telehealth":[29],"monitoring":[30,57],"intensive":[32],"care":[33],"unit":[34],"(ICU)":[35],"applications.":[36],"Although":[37],"the":[38,73,103,111,147,177,182,186],"methods":[39,46],"had":[40],"quite":[41],"acceptable":[42],"rates,":[44],"most":[45],"are":[47],"too":[48],"complicated":[49],"real-time":[51],"implementation":[52],"wearable":[54],"cardiac":[55],"health":[56],"devices.":[58],"Therefore,":[59],"this":[61],"paper,":[62],"we":[63],"present":[64],"low-complexity":[66],"algorithm":[67],"automatically":[69],"detecting":[70],"classifying":[72,176],"noises":[75],"including":[76,115],"flat":[77],"line":[78,94],"(FL),":[79],"time-varying":[80],"(TVN),":[82],"baseline":[83],"wander":[84],"(BW),":[85],"abrupt":[86],"change":[87],"(ABC),":[88],"muscle":[89],"artifact":[90],"(MA)":[91],"power":[93],"interference":[95],"(PLI).":[96],"The":[97,128,155],"proposed":[98,129,183],"method":[99,130,156,184],"is":[100,131],"based":[101],"on":[102],"moving":[104],"average":[105,159],"(MAv)":[106],"derivative":[108],"filters":[109],"five":[112],"temporal":[113],"features":[114],"turning":[116],"points,":[117],"global":[118],"local":[120],"amplitude":[121],"estimates,":[122],"zerocrossing":[123],"autocorrelation":[125],"peak":[126],"values.":[127],"tested":[132],"validated":[134],"using":[135],"wide":[137],"variety":[138],"clean":[140],"noisy":[142],"signals":[144],"taken":[145],"from":[146],"MIT-BIH":[148],"arrhythmia":[149],"database":[150],"Physionet":[152],"Challenge":[153],"database.":[154],"achieves":[157],"an":[158],"sensitivity":[160],"(Se)":[161],"98.55%,":[163],"positive":[164],"productivity":[165],"(+P)":[166],"95.27%":[168],"overall":[170],"accuracy":[171],"(OA)":[172],"94.19%":[174],"noises.":[178],"Results":[179],"show":[180],"that":[181],"outperforms":[185],"other":[187],"existing":[188],"methods.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
