000086512 001__ 86512
000086512 005__ 20210820090345.0
000086512 0247_ $$2doi$$a10.1088/1361-6579/ab009b
000086512 0248_ $$2sideral$$a109892
000086512 037__ $$aART-2019-109892
000086512 041__ $$aeng
000086512 100__ $$aPeralta Calvo, Elena
000086512 245__ $$aOptimal fiducial points for pulse rate variability analysis from forehead and finger PPG signals
000086512 260__ $$c2019
000086512 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086512 5203_ $$aObjective: The aim of this work is to evaluate and compare five fiducialpoints for the temporal location of each pulse wave from forehead and fingerphotoplethysmographic pulse waves signals (PPG) to perform pulse rate variability(PRV) analysis as a surrogate of heart rate variability (HRV) analysis.
Approach: Forehead and finger PPG signals were recorded during tilt-table testsimultaneously to the ECG. Artifacts were detected and removed and, five fiducialpoints 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 tothe PPG waveform at the apex of the derivative PPG signal and the tangent to thefoot of the PPG pulse defined as intersecting tangents method. Pulse period (PP)time intervals series were obtained from both PPG signals and compared to the RRintervals obtained from the ECG. Heart and pulse rate variability signals (HRV andPRV) were estimated and, classical time and frequency domain indices were computed.
Main Results: The middle-amplitude point of the PPG signal (nM), the apexpoint of the first derivative (n*A), and the tangents intersection point (nT) are themost suitable fiducial points for PRV analysis, which result in the lowest relativeerrors estimated between PRV and HRV indices, higher correlation coefficients and reliability indexes. Statistically significant differences according to the Wilcoxon testbetween PRV and HRV signals were found for the apex and foot fiducial points ofthe PPG, as well as the lowest agreement between RR and PP series according toBland-Altman analysis. Hence, they have been considered less accurate for variabilityanalysis. In addition, the relative errors are significantly lower fornMandn*Afeaturesby using Friedman statistics with Bonferroni multiple-comparison test and, we proposenMas the most accurate fiducial point. Based on our results, forehead PPG seems toprovide more reliable information for a PRV assessment than finger PPG.
Significance: The accuracy of the pulse wave detections depends on the morphologyof the PPG. There is therefore a need to widely define the most accurate fiducial pointto perform a PRV analysis under non-stationary conditions based on different PPGsensor locations and signal acquisition techniques.
000086512 536__ $$9info:eu-repo/grantAgreement/ES/UZ/UZ2018-TEC-05$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
000086512 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000086512 590__ $$a2.309$$b2019
000086512 591__ $$aBIOPHYSICS$$b39 / 71 = 0.549$$c2019$$dQ3$$eT2
000086512 591__ $$aPHYSIOLOGY$$b43 / 81 = 0.531$$c2019$$dQ3$$eT2
000086512 591__ $$aENGINEERING, BIOMEDICAL$$b49 / 87 = 0.563$$c2019$$dQ3$$eT2
000086512 592__ $$a0.702$$b2019
000086512 593__ $$aBiomedical Engineering$$c2019$$dQ2
000086512 593__ $$aBiophysics$$c2019$$dQ2
000086512 593__ $$aPhysiology$$c2019$$dQ3
000086512 593__ $$aPhysiology (medical)$$c2019$$dQ3
000086512 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086512 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro Plaza, Jesús$$uUniversidad de Zaragoza
000086512 700__ $$0(orcid)0000-0003-1272-0550$$aBailón Luesma, Raquel$$uUniversidad de Zaragoza
000086512 700__ $$aMarozas, Vaidotas
000086512 700__ $$0(orcid)0000-0001-7285-0715$$aGil Herrando, Eduardo$$uUniversidad de Zaragoza
000086512 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000086512 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000086512 773__ $$g40, 2 (2019), 025007 [15 pp.]$$pPhysiol. meas.$$tPHYSIOLOGICAL MEASUREMENT$$x0967-3334
000086512 8564_ $$s648892$$uhttps://zaguan.unizar.es/record/86512/files/texto_completo.pdf$$yPostprint
000086512 8564_ $$s86406$$uhttps://zaguan.unizar.es/record/86512/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000086512 909CO $$ooai:zaguan.unizar.es:86512$$particulos$$pdriver
000086512 951__ $$a2021-08-20-08:38:04
000086512 980__ $$aARTICLE