Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals.


Journal

Physiological measurement
ISSN: 1361-6579
Titre abrégé: Physiol Meas
Pays: England
ID NLM: 9306921

Informations de publication

Date de publication:
26 02 2019
Historique:
pubmed: 23 1 2019
medline: 25 2 2020
entrez: 23 1 2019
Statut: epublish

Résumé

The aim of this work is to evaluate and compare five fiducial points for the temporal location of each pulse wave from forehead and finger photoplethysmographic (PPG) pulse wave signals to perform pulse rate variability (PRV) analysis as a surrogate for heart rate variability (HRV) analysis. Forehead and finger PPG signals were recorded during a tilt-table test simultaneously with the electrocardiogram (ECG). Artefacts were detected and removed and five fiducial points were computed: apex, middle-amplitude and foot points of the PPG signal, apex point of the first derivative signal and the intersection point of the tangent to the PPG waveform at the apex of the derivative PPG signal and the tangent to the foot of the PPG pulse, defined as the intersecting tangents method. Pulse period (PP) time interval series were obtained from both PPG signals and compared with the RR intervals obtained from the ECG. HRV and PRV signals were estimated and classical time and frequency domain indices were computed. The middle-amplitude point of the PPG signal (n The accuracy of the pulse wave detection depends on the morphology of the PPG. There is therefore a need to widely define the most accurate fiducial point for performing a PRV analysis under non-stationary conditions based on different PPG sensor locations and signal acquisition techniques.

Identifiants

pubmed: 30669123
doi: 10.1088/1361-6579/ab009b
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

025007

Auteurs

Elena Peralta (E)

Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon,University of Zaragoza, Zaragoza, Spain. Centro de Investigacion Biomedica en Red-Bioingenieria, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain.

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Classifications MeSH