Impact of the PPG sampling rate in the pulse rate variability indices evaluating several fiducial points in different pulse waveforms
Financiación H2020 / H2020 Funds
Resumen: The 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.
Idioma: Inglés
DOI: 10.1109/JBHI.2021.3099208
Año: 2022
Publicado en: IEEE journal of biomedical and health informatics 26, 2 (2022), 539-549
ISSN: 2168-2194

Factor impacto JCR: 7.7 (2022)
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 17 / 158 = 0.108 (2022) - Q1 - T1
Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 4 / 55 = 0.073 (2022) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 3 / 31 = 0.097 (2022) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 18 / 110 = 0.164 (2022) - Q1 - T1

Factor impacto CITESCORE: 11.9 - Engineering (Q1) - Health Professions (Q1) - Medicine (Q1) - Computer Science (Q1)

Factor impacto SCIMAGO: 1.672 - Biotechnology (Q1) - Computer Science Applications (Q1) - Health Information Management (Q1) - Health Informatics (Q1) - Electrical and Electronic Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00
Financiación: info:eu-repo/grantAgreement/ES/UZ/CUD2019-10
Financiación: info:eu-repo/grantAgreement/ES/UZ/UZCUD2019-TEC-01
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)

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Artículos > Artículos por área > Máster Universitario en Ingeniería de Sistemas y Automática



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