{"id":"https://openalex.org/W2887238965","doi":"https://doi.org/10.1109/memea.2018.8438664","title":"Detection of Noise Type in Electrocardiogram","display_name":"Detection of Noise Type in Electrocardiogram","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2887238965","doi":"https://doi.org/10.1109/memea.2018.8438664","mag":"2887238965"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2018.8438664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2018.8438664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5063031729","display_name":"Mohamed Abdelazez","orcid":"https://orcid.org/0000-0002-3868-2532"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohamed Abdelazez","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012603099","display_name":"Sreeraman Rajan","orcid":"https://orcid.org/0000-0003-0153-6723"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sreeraman Rajan","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057240627","display_name":"Adrian D. C. Chan","orcid":"https://orcid.org/0000-0002-2111-247X"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Adrian D. C. Chan","raw_affiliation_strings":["Systems and Computer Engineering, Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063031729"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.8477,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75999711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.709858775138855},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6479219794273376},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.600918173789978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595130443572998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5175532698631287},{"id":"https://openalex.org/keywords/random-noise","display_name":"Random noise","score":0.4269160032272339},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36097973585128784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09230759739875793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.709858775138855},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6479219794273376},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.600918173789978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595130443572998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5175532698631287},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.4269160032272339},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36097973585128784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09230759739875793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea.2018.8438664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2018.8438664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1892542784","https://openalex.org/W1979512319","https://openalex.org/W1985280311","https://openalex.org/W1990148969","https://openalex.org/W1991342507","https://openalex.org/W2038436648","https://openalex.org/W2079922506","https://openalex.org/W2085582710","https://openalex.org/W2122930900","https://openalex.org/W2145444715","https://openalex.org/W2162800060","https://openalex.org/W2164053975","https://openalex.org/W2166548670","https://openalex.org/W2480084683","https://openalex.org/W2510044447","https://openalex.org/W2574212969","https://openalex.org/W2610184543","https://openalex.org/W2770980084","https://openalex.org/W4231194816","https://openalex.org/W6745907744"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W219781853","https://openalex.org/W2922081184","https://openalex.org/W2391767263","https://openalex.org/W13692438"],"abstract_inverted_index":{"Physicians":[0],"use":[1],"electrocardiogram":[2],"(ECG)":[3],"to":[4,32,40,92,200],"diagnose":[5],"cardiovascular":[6],"diseases.":[7],"It":[8],"is":[9,22,52,90],"mainly":[10],"used":[11,91],"in":[12,18,73,98,194,243,266,271,277],"hospital":[13,27],"environment;":[14],"however,":[15,54],"with":[16,36,110,139,168,187,206,211,222,230,245,250],"advancements":[17],"ambulatory":[19],"ECG,":[20],"it":[21],"now":[23],"available":[24],"outside":[25],"of":[26,34,48,64,70,96,150,172,190,203,219,240,248,256,269,285],"environment.":[28],"Ambulation":[29],"can":[30],"lead":[31],"contamination":[33],"ECG":[35,51,75,100,205,210,221,229,272],"various":[37],"noises":[38,208,242,249],"leading":[39],"signal":[41],"corruption,":[42],"misdiagnosis,":[43],"or":[44],"false":[45],"alarms.":[46],"Removal":[47],"noise":[49,57,72,97,111,270],"from":[50,101,118],"possible;":[53],"blindly":[55],"applying":[56,77],"removal":[58],"techniques":[59,79],"may":[60],"reduce":[61],"the":[62,65,71,74,94,201,204,241],"fidelity":[63],"ECG.":[66,99,155],"As":[67],"such,":[68],"identification":[69,282],"and":[76,116,129,148,159,163,177,182,196,225,254,258,283],"targeted":[78],"minimize":[80],"information":[81],"loss.":[82],"In":[83],"this":[84],"study,":[85],"a":[86,146,169,212,279],"machine":[87,133],"learning":[88,134],"approach":[89],"identify":[93],"type":[95,171],"Physionet's":[102,119],"Normal":[103],"S":[104,122],"inus":[105],"Rhythm":[106],"Database":[107,125],"was":[108,136,198],"contaminated":[109],"(baseline":[112],"wandering,":[113],"electrode":[114],"motion,":[115],"electromyography)":[117],"MIT-BIH":[120],"Noise":[121],"tress":[123],"Test":[124],"at":[126,237],"different":[127],"levels":[128],"combinations.":[130],"The":[131,142,156,174,192,233,261],"chosen":[132],"algorithm":[135],"Random":[137,143],"Forest":[138,144],"1024":[140],"estimators.":[141],"had":[145],"precision":[147,158,176,195,253],"recall":[149,160,178,197,255],"1.0":[151],"when":[152],"identifying":[153,238,267],"clean":[154],"average":[157,175,252],"were":[161,179,180],"0.47":[162],"0.63,":[164],"respectively,":[165,184],"for":[166,185,274,281],"segments":[167,186,244],"single":[170,213],"noise.":[173,191,286],"0.44":[181],"0.27,":[183],"multiple":[188,207,246],"types":[189,247,268],"drop":[193],"due":[199],"misclassification":[202],"as":[209,215,227],"noise;":[214],"an":[216,220,228,251],"example,":[217],"classification":[218],"baseline":[223,231],"wandering":[224],"electromyography":[226],"wandering.":[232],"classifier":[234,262],"performed":[235,264],"well":[236,265],"any":[239],"0.81":[257],"0.70,":[259],"respectively.":[260],"generally":[263],"allowing":[273],"future":[275],"work":[276],"developing":[278],"framework":[280],"mitigation":[284]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
