Photoplethysmogram Signal Morphology-Based Stress Assessment

Rinkevicius, M. ; Kontaxis, S. (Universidad de Zaragoza) ; Gil, E. (Universidad de Zaragoza) ; Bailon, R. (Universidad de Zaragoza) ; Lázaro, J. (Universidad de Zaragoza) ; Laguna, P. (Universidad de Zaragoza) ; Marozas, V.

Resumen: Stress is a healthy natural response to a perceived or actual threat. However, when stress is persistent, it may decrease work productivity, increase the risk of diseases, and affect the quality of life. Stress is reflected in physiological variables, such as heart rate, blood pressure, and pulse wave velocity among others. A photoplethys-mogram (PPG) contains information related to pulse rate and blood pressure. This study analyses parameters derived from PPG signal morphology for mental stress assessment.A low-complexity algorithm is designed using bandpass filtered higher-order derivatives of the PPG signal for estimation of six morphological parameters: the forward pulse wave amplitude A1, the systole and diastole durations T1 and Td, the time delays of reflected waves T12 and T13 from the renal and iliac sites in the central arteries, and the pulse duration Tp. The parameters were investigated on a set of 18 healthy subjects by using a modified Trier Social Stress Test.The results show that the most sensitive PPG morphology parameters to mental stress are the amplitude of forward wave A1, the duration of diastole Td, the time delay of the reflected wave T13, and the pulse-to-pulse interval Tp.

Idioma: Inglés

DOI: 10.23919/CinC49843.2019.9005748

Año: 2019

Publicado en: Computing in Cardiology 46 (2019), [4 pp]
ISSN: 2325-8861

Factor impacto SCIMAGO: 0.296 - Computer Science (miscellaneous) - Cardiology and Cardiovascular Medicine

Financiación: info:eu-repo/grantAgreement/ES/CIBER-Ibercaja-CAI/IT 16-18
Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/LMP44-18
Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/MICIU/RTI2018-097723-B-I00

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)