000106655 001__ 106655
000106655 005__ 20240319080946.0
000106655 0247_ $$2doi$$a10.1109/JBHI.2021.3099208
000106655 0248_ $$2sideral$$a124662
000106655 037__ $$aART-2022-124662
000106655 041__ $$aeng
000106655 100__ $$0(orcid)0000-0002-0690-3193$$aPeláez-Coca, María Dolores
000106655 245__ $$aImpact of the PPG sampling rate in the pulse rate variability indices evaluating several fiducial points in different pulse waveforms
000106655 260__ $$c2022
000106655 5060_ $$aAccess copy available to the general public$$fUnrestricted
000106655 5203_ $$aThe main aim of this work is to study the effect of the sampling rate of the photoplethysmographic (PPG) signal for pulse rate variability (PRV) analysis in the time and frequency domains, in stationary conditions. Forehead and finger PPG signals were recorded at 1000 Hz during a rest state, with red and infrared wavelengths, simultaneously with the electrocardiogram (ECG). The PPG sampling rate has been reduced by decimation, obtaining signals at 500 Hz, 250 Hz, 125 Hz, 100 Hz, 50 Hz and 25 Hz. Five fiducial points were computed: apex, up-slope, medium, line-medium and medium interpolate point. The medium point is located in the middle of the up-slope of the pulse. The medium interpolate point is a new proposal as fiducial point that consider the abrupt up-slope of the PPG pulse, so it can be recovered by linear interpolation when the sampling rate is reduced. The error performed in the temporal location of the fiducial points was computed. Pulse period time interval series were obtained from all PPG signals and fiducial points, and compared with the RR intervals obtained from the ECG. Heart rate variability and PRV signals were estimated and classical time and frequency domain indices were computed. The results showed that the medium interpolate point of the PPG pulse was the most accurate fiducial point under different PPG morphologies and sensor locations, when sampling rate was reduced. The error in the temporal location points and in the estimation of time and frequency indices was always lower when medium interpolate point was used for all considered sampling rates and for both signals, finger and forehead. The results also showed that the sampling rate of PPG signal can be reduced up to 100 Hz without causing significant changes in the time and frequency indices, when medium interpolate point was used as fiducial point. Therefore, the use of the medium interpolate point is recommended when working at low sampling rates.
000106655 536__ $$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/UZ/CUD2019-10$$9info:eu-repo/grantAgreement/ES/UZ/UZCUD2019-TEC-01
000106655 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000106655 590__ $$a7.7$$b2022
000106655 592__ $$a1.672$$b2022
000106655 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b17 / 158 = 0.108$$c2022$$dQ1$$eT1
000106655 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b4 / 55 = 0.073$$c2022$$dQ1$$eT1
000106655 591__ $$aMEDICAL INFORMATICS$$b3 / 31 = 0.097$$c2022$$dQ1$$eT1
000106655 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b18 / 110 = 0.164$$c2022$$dQ1$$eT1
000106655 593__ $$aBiotechnology$$c2022$$dQ1
000106655 593__ $$aComputer Science Applications$$c2022$$dQ1
000106655 593__ $$aHealth Information Management$$c2022$$dQ1
000106655 593__ $$aHealth Informatics$$c2022$$dQ1
000106655 593__ $$aElectrical and Electronic Engineering$$c2022$$dQ1
000106655 594__ $$a11.9$$b2022
000106655 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000106655 700__ $$0(orcid)0000-0003-2596-7237$$aHernando, Alberto
000106655 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza
000106655 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000106655 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000106655 773__ $$g26, 2 (2022), 539-549$$pIEEE j. biomed. health inform.$$tIEEE journal of biomedical and health informatics$$x2168-2194
000106655 8564_ $$s394925$$uhttps://zaguan.unizar.es/record/106655/files/texto_completo.pdf$$yPostprint
000106655 8564_ $$s3576822$$uhttps://zaguan.unizar.es/record/106655/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000106655 909CO $$ooai:zaguan.unizar.es:106655$$particulos$$pdriver
000106655 951__ $$a2024-03-18-12:36:23
000106655 980__ $$aARTICLE