Intelligent use of advanced capabilities of diagnostic ECG algorithms in a monitoring environment.
A large number of ST-elevation notifications are generated by cardiac monitoring systems, but only a fraction of them is related to the critical condition known as ST-segment elevation myocardial infarction (STEMI) in which the blockage of coronary artery causes ST-segment elevation. Confounders suc...
| Publicado en: | Journal of Electrocardiology Vol. 50; no. 5; pp. 615 - 620 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
W B Saunders
Sep2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=125020604&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125020604 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00220736 1276 jtl: Journal of Electrocardiology issn: 00220736 maglogo: N pubinfo: dt: Sep2017 vid: 50 iid: 5 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 125020604 125020604 NLM28476433 10.1016/j.jelectrocard.2017.04.013 NLM28476433 125020604 ppf: 615 ppct: 5 formats: tig: atl: Intelligent use of advanced capabilities of diagnostic ECG algorithms in a monitoring environment. aug: au: Firoozabadi, Reza Gregg, Richard E. Babaeizadeh, Saeed affil: Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA sug: subj: Algorithms Acute Coronary Syndrome Diagnosis Electrocardiography, Ambulatory Female Male Diagnosis, Differential Ferrans and Powers Quality of Life Index Short Portable Mental Status Questionnaire Female Male ab: A large number of ST-elevation notifications are generated by cardiac monitoring systems, but only a fraction of them is related to the critical condition known as ST-segment elevation myocardial infarction (STEMI) in which the blockage of coronary artery causes ST-segment elevation. Confounders such as acute pericarditis and benign early repolarization create electrocardiographic patterns mimicking STEMI but usually do not benefit from a real-time notification. A STEMI screening algorithm able to recognize those confounders utilizing capabilities of diagnostic ECG algorithms in variation analysis of ST segments helps to avoid triggering a non-actionable ST-elevation notification. However, diagnostic algorithms are generally designed to analyze short ECG snapshots collected in low-noise resting position and hence are susceptible to high levels of noise common in a monitoring environment. We developed a STEMI screening algorithm which performs a real-time signal quality evaluation on the ECG waveform to select the segments with quality high enough for subsequent analysis by a diagnostic ECG algorithm. The STEMI notifications generated by this multi-stage STEMI screening algorithm are significantly fewer than ST-elevation notifications generated by a continuous ST monitoring strategy. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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