{"id":"https://openalex.org/W2184486234","doi":"https://doi.org/10.1109/biocas.2015.7348370","title":"Patient adaptable ventricular arrhythmia classifier using template matching","display_name":"Patient adaptable ventricular arrhythmia classifier using template matching","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2184486234","doi":"https://doi.org/10.1109/biocas.2015.7348370","mag":"2184486234"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2015.7348370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","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/A5072324075","display_name":"Norhan S. Hammed","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Norhan S. Hammed","raw_affiliation_strings":["BioBusiness R&D Department, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"BioBusiness R&D Department, Cairo, Egypt","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109183977","display_name":"Mohamed I. Owis","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed I. Owis","raw_affiliation_strings":["Biomedical Engineering and Systems, Cairo University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering and Systems, Cairo University, Cairo, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072324075"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0452,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79476961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":1.0,"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":1.0,"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":0.9993000030517578,"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":0.9923999905586243,"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/heartbeat","display_name":"Heartbeat","score":0.7879924178123474},{"id":"https://openalex.org/keywords/beat","display_name":"Beat (acoustics)","score":0.7410969138145447},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.7167603969573975},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.6080339550971985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5988591909408569},{"id":"https://openalex.org/keywords/heart-beat","display_name":"Heart beat","score":0.5734364986419678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.531216025352478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.530598521232605},{"id":"https://openalex.org/keywords/fiducial-marker","display_name":"Fiducial marker","score":0.4320594072341919},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4317430555820465},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4198988080024719},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19587919116020203},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.1868327558040619},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1498607099056244},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11335405707359314}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.7879924178123474},{"id":"https://openalex.org/C189809214","wikidata":"https://www.wikidata.org/wiki/Q829522","display_name":"Beat (acoustics)","level":2,"score":0.7410969138145447},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.7167603969573975},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.6080339550971985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5988591909408569},{"id":"https://openalex.org/C2982892191","wikidata":"https://www.wikidata.org/wiki/Q253408","display_name":"Heart beat","level":2,"score":0.5734364986419678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.531216025352478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.530598521232605},{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.4320594072341919},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4317430555820465},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4198988080024719},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19587919116020203},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.1868327558040619},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1498607099056244},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11335405707359314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2015.7348370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5699999928474426},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W610409371","https://openalex.org/W629637854","https://openalex.org/W657529583","https://openalex.org/W2017487767","https://openalex.org/W2044131129","https://openalex.org/W2085137652","https://openalex.org/W2095549401","https://openalex.org/W2108396267","https://openalex.org/W2132300419","https://openalex.org/W2145044818","https://openalex.org/W2146948310","https://openalex.org/W2162693370","https://openalex.org/W2163430278","https://openalex.org/W2169533318","https://openalex.org/W2234802074","https://openalex.org/W2315384526","https://openalex.org/W2423609858","https://openalex.org/W2506630286","https://openalex.org/W4393637513","https://openalex.org/W6689699514","https://openalex.org/W6717396565"],"related_works":["https://openalex.org/W2023307904","https://openalex.org/W2129251763","https://openalex.org/W2416864232","https://openalex.org/W3010916113","https://openalex.org/W2144144167","https://openalex.org/W2025937784","https://openalex.org/W1621257839","https://openalex.org/W2036775971","https://openalex.org/W1965229134","https://openalex.org/W2126605882"],"abstract_inverted_index":{"In":[0,94],"this":[1],"paper":[2],"we":[3,99,113],"propose":[4],"a":[5,26],"real-time":[6],"method":[7],"for":[8,84,109,130,204],"discrimination":[9],"of":[10,76,86],"ventricular":[11,147,180,207],"ectopic":[12,148,181,208],"and":[13,121,159,179,201,206],"normal":[14,77,141,178,205],"beats":[15,78,127,149,209],"in":[16,68,185],"the":[17,30,52,74,80,91,118,122,164],"electrocardiogram":[18],"(ECG).":[19],"The":[20],"heartbeat":[21],"waveforms":[22],"were":[23],"evaluated":[24],"within":[25],"fixed-length":[27],"window":[28],"around":[29],"fiducial":[31],"points":[32],"(100":[33],"ms":[34,37],"before,":[35],"100":[36],"after)":[38],"after":[39],"being":[40],"normalized.":[41],"Our":[42,167,193],"algorithm":[43,169],"was":[44,170],"designed":[45],"to":[46,57,96],"operate":[47],"with":[48,177,199],"no":[49],"expert":[50],"assistance;":[51],"operator":[53],"is":[54,71,153],"not":[55,138],"required":[56],"initially":[58],"select":[59],"any":[60],"known":[61],"beat":[62,104,124,132,143,182],"templates":[63],"which":[64,88],"makes":[65],"it":[66],"applicable":[67],"real-time.":[69],"It":[70],"based":[72],"on":[73,134,172],"dominancy":[75],"during":[79],"first":[81],"several":[82],"seconds":[83],"most":[85],"records":[87,176,190],"mostly":[89],"match":[90],"real":[92],"cases.":[93],"addition":[95],"R-R":[97],"intervals,":[98],"extract":[100],"other":[101,189],"features":[102],"as":[103,157],"width,":[105],"P":[106],"wave":[107],"existence":[108],"each":[110,131,151],"beat.":[111],"Also":[112],"apply":[114],"template":[115,120,126],"matching":[116,137],"between":[117],"learned":[119],"unknown":[123],"where":[125,150],"are":[128,191],"created":[129],"shape":[133],"runtime.":[135],"Template":[136],"only":[139],"classifies":[140],"dominant":[142],"but":[144],"also":[145],"multi-form":[146],"form":[152],"classified":[154],"separately":[155],"so":[156],"doctors":[158],"medical":[160],"stuff":[161],"could":[162],"take":[163],"better":[165],"decision.":[166],"proposed":[168],"tested":[171],"MIT-BIH":[173],"ECG":[174],"database":[175],"classes":[183],"defined":[184],"AAMI":[186],"standard":[187],"while":[188],"excluded.":[192],"results":[194],"show":[195],"97.24%":[196],"overall":[197],"accuracy":[198],"98.93%":[200],"94.54%":[202],"sensitivities":[203],"respectively.":[210]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-09T23:09:16.995542","created_date":"2025-10-10T00:00:00"}