{"id":"https://openalex.org/W2288705250","doi":"https://doi.org/10.1109/cic.2015.7408643","title":"Reduction of false critical ECG alarms using waveform features of arterial blood pressure and/or photoplethysmogram signals","display_name":"Reduction of false critical ECG alarms using waveform features of arterial blood pressure and/or photoplethysmogram signals","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2288705250","doi":"https://doi.org/10.1109/cic.2015.7408643","mag":"2288705250"},"language":"en","primary_location":{"id":"doi:10.1109/cic.2015.7408643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2015.7408643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Computing in Cardiology Conference (CinC)","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/A5050098406","display_name":"Wei Zong","orcid":"https://orcid.org/0000-0001-7962-8519"},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Zong","raw_affiliation_strings":["Philips Healthcare, Andover, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Healthcare, Andover, MA, USA","institution_ids":["https://openalex.org/I4210131230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050098406"],"corresponding_institution_ids":["https://openalex.org/I4210131230"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994000196456909,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991000294685364,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.9736494421958923},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6703457832336426},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5996577739715576},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.5940232872962952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5569164156913757},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.4946412742137909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48742344975471497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4763248860836029},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.4723590314388275},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4401244819164276},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43212494254112244},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4208727180957794},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3849561810493469},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3356550931930542},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26738241314888},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2550579905509949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15682411193847656},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1440262794494629}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.9736494421958923},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6703457832336426},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5996577739715576},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.5940232872962952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5569164156913757},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.4946412742137909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48742344975471497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4763248860836029},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.4723590314388275},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4401244819164276},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43212494254112244},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4208727180957794},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3849561810493469},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3356550931930542},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26738241314888},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2550579905509949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15682411193847656},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1440262794494629},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cic.2015.7408643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cic.2015.7408643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5899999737739563,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2145433315","https://openalex.org/W2170195027","https://openalex.org/W2170846229","https://openalex.org/W2291378922","https://openalex.org/W2292615477","https://openalex.org/W3151043256"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W2122132874","https://openalex.org/W4200107443","https://openalex.org/W2905091233","https://openalex.org/W2138353306","https://openalex.org/W3121346907","https://openalex.org/W4379535633"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,60,75,79,86,98,129],"Physionet/Computing":[3],"in":[4,42,119],"Cardiology":[5],"(CinC)":[6],"Challenge":[7,130],"2015":[8],"[1],":[9],"this":[10,106],"article":[11],"presents":[12],"practical":[13,140],"algorithm":[14,138],"to":[15,59,74,95,123,142],"reduce":[16],"false":[17],"critical":[18,62,83],"ECG":[19,63],"alarms":[20],"using":[21],"waveform":[22],"features":[23,35],"of":[24,71,81,90],"arterial":[25],"blood":[26],"pressure":[27],"(ABP)":[28],"and/or":[29],"photo-plethysmogram":[30],"(PPG).":[31],"The":[32,137],"ABP/PPG":[33,92,124],"pulse":[34,48],"are":[36,66,101,117,135],"extracted":[37],"on":[38,128],"a":[39,69,82,120],"beat-by-beat":[40],"basis":[41],"real-time":[43,144],"manner.":[44],"For":[45],"each":[46],"detected":[47],"(or":[49],"forced":[50],"detection),":[51],"5":[52,61],"event":[53],"feature":[54],"indicators":[55],"(EFIs),":[56],"which":[57],"correspond":[58],"arrhythmia":[64,84],"alarms,":[65],"generated":[67],"from":[68],"group":[70],"pulses":[72,93],"prior":[73,94],"current":[76],"pulse.":[77],"At":[78],"time":[80,100],"alarm,":[85],"corresponding":[87],"EFI":[88],"values":[89],"those":[91],"or":[96,111],"around":[97],"alarm":[99],"checked":[102],"for":[103],"adjudicating":[104],"(accept/reject)":[105],"alarm.":[107],"As":[108],"an":[109],"extension":[110],"option,":[112],"available":[113],"electrocardiogram":[114],"(ECG)":[115],"signals":[116],"included":[118],"way":[121],"similar":[122],"processing.":[125],"Quantitative":[126],"results":[127],"training":[131],"and":[132,147],"test":[133],"datasets":[134],"presented.":[136],"is":[139],"owing":[141],"its":[143],"processing":[145],"mechanism":[146],"computational":[148],"efficiency.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
