Title Photoplethysmogram signal morphology-based stress assessment /
Authors Rinkevičius, Mantas ; Kontaxis, Spyridon ; Gil, Eduardo ; Bailon, Raquel ; Lázaro, Jesús ; Laguna, Pablo ; Marozas, Vaidotas
DOI 10.23919/CinC49843.2019.9005748
eISBN 9781728169361
Full Text Download
Is Part of Computing in cardiology 2019 (CinC), Singapore, 8-11 September 2019.. New York : IEEE, 2019. vol. 46, p. 1-9.. ISSN 2325-8861. eISSN 2325-887X. eISBN 9781728169361
Keywords [eng] stress ; biomedical monitoring ; delay effects ; heart rate ; blood pressure ; task analysis ; protocols
Abstract [eng] 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.
Published New York : IEEE, 2019
Type Conference paper
Language English
Publication date 2019
CC license CC license description