Efficient noise-tolerant estimation of heart rate variability using single-channel photoplethysmography.
Background: The feasibility of using photoplethysmography (PPG) for estimating heart rate variability (HRV) has been the subject of many recent studies with contradicting results. Accurate measurement of cardiac cycles is more challenging in PPG than ECG due to its inherent characteristics.Methods:...
| Publicado en: | Journal of Electrocardiology Vol. 50; no. 6; pp. 841 - 847 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
W B Saunders
Nov2017
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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=126251997&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126251997 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00220736 1276 jtl: Journal of Electrocardiology issn: 00220736 maglogo: N pubinfo: dt: Nov2017 vid: 50 iid: 6 pid: 1351 pub: W B Saunders place: Philadelphia, Pennsylvania artinfo: ui: 126251997 126251997 NLM28918214 126251997 10.1016/j.jelectrocard.2017.08.020 NLM28918214 126251997 ppf: 841 ppct: 6 formats: tig: atl: Efficient noise-tolerant estimation of heart rate variability using single-channel photoplethysmography. aug: au: Firoozabadi, Reza Helfenbein, Eric D. Babaeizadeh, Saeed affil: Advanced Algorithm Research Center, Philips Healthcare, Andover, MA, USA sug: subj: Heart Rate Physiology Algorithms Arrhythmia Physiopathology Plethysmography Methods Signal Processing, Computer Assisted Artifacts Intensive Care Units Sensitivity and Specificity Electrocardiography Methods Human ab: Background: The feasibility of using photoplethysmography (PPG) for estimating heart rate variability (HRV) has been the subject of many recent studies with contradicting results. Accurate measurement of cardiac cycles is more challenging in PPG than ECG due to its inherent characteristics.Methods: We developed a PPG-only algorithm by computing a robust set of medians of the interbeat intervals between adjacent peaks, upslopes, and troughs. Abnormal intervals are detected and excluded by applying our criteria.Results: We tested our algorithm on a large database from high-risk ICU patients containing arrhythmias and significant amounts of artifact. The average difference between PPG-based and ECG-based parameters is <1% for pNN50, <1bpm for meanHR, <1ms for SDNN, <3ms for meanNN, and <4ms for SDSD and RMSSD.Conclusions: Our performance testing shows that the pulse rate variability (PRV) parameters are comparable to the HRV parameters from simultaneous ECG recordings. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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