On the use of fractional calculus to improve the pulse arrival time (PAT) detection when using photoplethysmography (PPG) and electrocardiography (ECG) signals
Mohammadpoor Faskhodi, Mahtab (Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica)
García González, Miguel Ángel (Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica)
Fernández Chimeno, Mireya (Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica)
Guede Fernández, Federico (Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica)
Mateu Mateus, Marc (Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica)
Capdevila Ortís, Lluís (Universitat Autònoma de Barcelona. Institut de Recerca de l'Esport)
Ramos Castro, Juan (Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica)

Fecha:	2024
Descripción:	25 pàg.
Resumen:	The pulse arrival time (PAT) has been considered a surrogate measure for pulse wave velocity (PWV), although some studies have noted that this parameter is not accurate enough. Moreover, the inter-beat interval (IBI) time series obtained from successive pulse wave arrivals can be employed as a surrogate measure of the RR time series avoiding the use of electrocardiogram (ECG) signals. Pulse arrival detection is a procedure needed for both PAT and IBI measurements and depends on the proper fiducial points chosen. In this paper, a new set of fiducial points that can be tailored using several optimization criteria is proposed to improve the detection of successive pulse arrivals. This set is based on the location of local maxima and minima in the systolic rise of the pulse wave after fractional differintegration of the signal. Several optimization criteria have been proposed and applied to high-quality recordings of a database with subjects who were breathing at different rates while sitting or standing. When a proper fractional differintegration order is selected by using the RR time series as a reference, the agreement between the obtained IBI and RR is better than that for other state-of-the-art fiducial points. This work tested seven different traditional fiducial points. For the agreement analysis, the median standard deviation of the difference between the IBI and RR time series is 5. 72 ms for the proposed fiducial point versus 6. 20 ms for the best-performing traditional fiducial point, although it can reach as high as 9. 93 ms for another traditional fiducial point. Other optimization criteria aim to reduce the standard deviation of the PAT (7. 21 ms using the proposed fiducial point versus 8. 22 ms to 15. 4 ms for the best- and worst-performing traditional fiducial points) or to minimize the standard deviation of the PAT attributable to breathing (3. 44 ms using the proposed fiducial point versus 4. 40 ms to 5. 12 ms for best- and worst-performing traditional fiducial points). The use of these fiducial points may help to better quantify the beat-to-beat PAT variability and IBI time series.
Ayudas:	Agencia Estatal de Investigación PID2019-107473RB-C22
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Publicado en:	PloS one, Vol. 19, Num. 2 (2024) , art. e0298354, ISSN 1932-6203

DOI: 10.1371/journal.pone.0298354
PMID: 38363753

25 p, 2.2 MB

El registro aparece en las colecciones:
Artículos > Artículos de investigación
Artículos > Artículos publicados