{"id":"https://openalex.org/W2208381874","doi":"https://doi.org/10.1109/bibm.2015.7359793","title":"Design of a real-time morphology-based anomaly detection method from ECG streams","display_name":"Design of a real-time morphology-based anomaly detection method from ECG streams","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2208381874","doi":"https://doi.org/10.1109/bibm.2015.7359793","mag":"2208381874"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2015.7359793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109960565","display_name":"DuyHoa Ngo","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"DuyHoa Ngo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070594442","display_name":"Bharadwaj Veeravalli","orcid":"https://orcid.org/0000-0001-9000-1813"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bharadwaj Veeravalli","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":2.8875,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88779343,"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":"829","last_page":"836"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9853000044822693,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8523849248886108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7792989015579224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6109023690223694},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5737966299057007},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.556334376335144},{"id":"https://openalex.org/keywords/heart-beat","display_name":"Heart beat","score":0.5292897820472717},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5229516625404358},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5175260901451111},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5016472339630127},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49433398246765137},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4143671691417694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3998725414276123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3225157856941223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24599450826644897},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10846999287605286}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8523849248886108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7792989015579224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6109023690223694},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5737966299057007},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.556334376335144},{"id":"https://openalex.org/C2982892191","wikidata":"https://www.wikidata.org/wiki/Q253408","display_name":"Heart beat","level":2,"score":0.5292897820472717},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5229516625404358},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5175260901451111},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5016472339630127},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49433398246765137},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4143671691417694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3998725414276123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3225157856941223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24599450826644897},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10846999287605286},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2015.7359793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2015.7359793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W12692335","https://openalex.org/W54230203","https://openalex.org/W605602149","https://openalex.org/W1887293364","https://openalex.org/W1971339094","https://openalex.org/W1976543942","https://openalex.org/W1985077752","https://openalex.org/W1991071650","https://openalex.org/W2020571458","https://openalex.org/W2025492635","https://openalex.org/W2063875884","https://openalex.org/W2069253401","https://openalex.org/W2100932819","https://openalex.org/W2100975971","https://openalex.org/W2103308415","https://openalex.org/W2104641482","https://openalex.org/W2108587916","https://openalex.org/W2108974680","https://openalex.org/W2121938636","https://openalex.org/W2122646361","https://openalex.org/W2124785086","https://openalex.org/W2127510558","https://openalex.org/W2137130182","https://openalex.org/W2139677263","https://openalex.org/W2144994235","https://openalex.org/W2146948310","https://openalex.org/W2156855760","https://openalex.org/W2157500613","https://openalex.org/W2163430278","https://openalex.org/W2166704538","https://openalex.org/W2464677966","https://openalex.org/W3151725816","https://openalex.org/W6602235367","https://openalex.org/W6675443086","https://openalex.org/W6678677588","https://openalex.org/W6683949775"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,47,95],"from":[2,87],"ECG":[3],"stream":[4],"is":[5,85],"a":[6,11,54,67],"key":[7],"step":[8],"leading":[9],"to":[10,73],"significant":[12],"success":[13],"of":[14,79,121],"the":[15,33,46,127],"remote":[16],"and":[17,29,70,92,115,124],"auto-triggered":[18],"cardiac":[19],"event":[20],"monitoring":[21],"system.":[22],"This":[23],"effort":[24],"requires":[25],"an":[26,118],"online":[27],"processing":[28],"efficient":[30],"analysis":[31],"on":[32,53,77,117],"real-time":[34],"data.":[35],"Moreover,":[36],"its":[37],"computational":[38],"complexity":[39],"should":[40],"be":[41,50],"kept":[42],"low":[43],"so":[44],"that":[45],"algorithm":[48],"can":[49],"implemented":[51],"even":[52],"small":[55],"computing":[56],"device":[57],"used":[58],"in":[59],"sensor":[60],"network.":[61],"In":[62,109],"this":[63],"paper,":[64],"we":[65],"present":[66],"novel":[68],"fast":[69],"effective":[71],"approach":[72,84],"identify":[74],"abnormalities":[75],"based":[76],"differences":[78],"heart":[80],"beat":[81],"morphologies.":[82],"Our":[83],"inspired":[86],"time-series":[88],"data":[89],"mining":[90],"techniques":[91],"statistical":[93],"outlier":[94],"methods.":[96],"The":[97],"experimental":[98],"results":[99],"overall":[100],"(open":[101],"public":[102],"QT":[103],"database)":[104],"demonstrate":[105],"high":[106],"quality":[107],"performance.":[108],"particular,":[110],"it":[111],"obtains":[112],"0.971,":[113],"0.995":[114],"0.994,":[116],"average,":[119],"for":[120,126],"sensitivity,":[122],"specificity":[123],"accuracy":[125],"respective":[128],"performance":[129],"metrics.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}