Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sources.
Heart-rate complexity (HRC) has been proposed as a new vital sign for critical care medicine. The purpose of this research was to develop a reliable method for determining HRC continuously in real time in critically ill patients using multiple waveform channels that also compensates for noisy and un...
| Published in: | Journal of Clinical Monitoring & Computing Vol. 28; no. 2; pp. 123 - 132 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Apr2014
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104042565&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104042565 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Apr2014 vid: 28 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104042565 NLM23990286 2012504215 10.1007/s10877-013-9503-0 NLM23990286 104042565 ppf: 123 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sources. aug: au: Liu, Nehemiah T Cancio, Leopoldo C Salinas, Jose Batchinsky, Andriy I affil: U.S. Army Institute of Surgical Research, 3650 Chambers Pass, Building 3610, Fort Sam Houston, TX, 78234-6315, USA, nehemiah.liu@us.army.mil. sug: subj: Algorithms Arrhythmia Diagnosis Arrhythmia Physiopathology Critical Care Methods Diagnosis, Computer Assisted Methods Electrocardiography Methods Heart Rate Adult Aged Aged, 80 and Over Computer Systems Critical Illness Female Human Male Middle Age Information Science Methods Reproducibility of Results Sensitivity and Specificity Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: Heart-rate complexity (HRC) has been proposed as a new vital sign for critical care medicine. The purpose of this research was to develop a reliable method for determining HRC continuously in real time in critically ill patients using multiple waveform channels that also compensates for noisy and unreliable data. Using simultaneously acquired electrocardiogram (Leads I, II, V) and arterial blood pressure waveforms sampled at 360 Hz from 250 patients (over 375 h of patient data), we evaluated a new data fusion framework for computing HRC in real time. The framework employs two algorithms as well as signal quality indices. HRC was calculated (via the method of sample entropy), and equivalence tests were then performed. Bland-Altman plots and box plots of differences between mean HRC values were also obtained. Finally, HRC differences were analyzed by paired t tests. The gold standard for obtaining true means was manual verification of R waves and subsequent entropy calculations. Equivalence tests between mean HRC values derived from manually verified sequences and those derived from automatically detected peaks showed that the "Fusion" values were the least statistically different from the gold standard. Furthermore, the fusion of waveform sources produced better error density distributions than those derived from individual waveforms. The data fusion framework was shown to provide in real-time a reliable continuously streamed HRC value, derived from multiple waveforms in the presence of noise and artifacts. This approach will be validated and tested for assessment of HRC in critically ill patients. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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