98281 20230914083306.0 doi 10.23919/CinC49843.2019.9005748 sideral 121999 ART-2019-121999 eng Rinkevicius, M. Photoplethysmogram Signal Morphology-Based Stress Assessment 2019 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/CIBER-Ibercaja-CAI/IT 16-18 info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/ES/DGA-FSE/LMP44-18 info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON info:eu-repo/grantAgreement/ES/MICIU/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.296 2019 Computer Science (miscellaneous) 2019 Cardiology and Cardiovascular Medicine 2019 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Kontaxis, S. Universidad de Zaragoza (orcid)0000-0002-1297-0691 Gil, E. Universidad de Zaragoza (orcid)0000-0001-7285-0715 Bailon, R. Universidad de Zaragoza (orcid)0000-0003-1272-0550 Lázaro, J. Universidad de Zaragoza (orcid)0000-0001-8742-0072 Laguna, P. Universidad de Zaragoza (orcid)0000-0003-3434-9254 Marozas, V. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 46 (2019), [4 pp] Comput. cardiol. Computing in Cardiology 2325-8861 355959 http://zaguan.unizar.es/record/98281/files/texto_completo.pdf Versión publicada 2609158 http://zaguan.unizar.es/record/98281/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:98281 articulos driver 2023-09-13-10:56:09 ARTICLE