95528 20220426091132.0 doi 10.1109/TBME.2020.3025908 sideral 119981 ART-2020-119981 eng Kontaxis, Spyridon Universidad de Zaragoza (orcid)0000-0002-1297-0691 Photoplethysmographic waveform analysis for autonomic reactivity assessment in depression 2020 Access copy available to the general public Unrestricted Objective: In the present study, a photoplethysmographic (PPG) waveform analysis for assessing differences in autonomic reactivity to mental stress between patients with Major Depressive Disorder (MDD) and healthy control (HC) subjects is presented. Methods: PPG recordings of 40 MDD and 40 HC subjects were acquired at basal conditions, during the execution of cognitive tasks, and at the post-task relaxation period. PPG pulses are decomposed into three waves (a main wave and two reflected waves) using a pulse decomposition analysis. Pulse waveform characteristics such as the time delay between the position of the main wave and reflected waves, the percentage of amplitude loss in the reflected waves, and the heart rate (HR) are calculated among others. The intra-subject difference of a feature value between two conditions is used as an index of autonomic reactivity. Results: Statistically significant individual differences from stress to recovery were found for HR and the percentage of amplitude loss in the second reflected wave ( A13 ) in both HC and MDD group. However, autonomic reactivity indices related to A13 reached higher values in HC than in MDD subjects (Cohen's d =0.81, AUC = 0.74), implying that the stress response in depressed patients is reduced. A statistically significant (p < 0.001) negative correlation (r = 0.5) between depression severity scores and A13 was found. Conclusion: A decreased autonomic reactivity is associated with higher degree of depression. Significance: Stress response quantification by dynamic changes in PPG waveform morphology can be an aid for the diagnosis and monitoring of depression. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS 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/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.538 2020 ENGINEERING, BIOMEDICAL 24 / 90 = 0.267 2020 Q2 T1 1.147 2020 Biomedical Engineering 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 Marozas, Vaidotas Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0001-8742-0072 García, Esther Posadas-de Miguel, Mar Siddi, Sara Bernal, María Luisa Universidad de Zaragoza (orcid)0000-0002-8222-1418 Aguiló, Jordi Haro, Josep María de la Cámara, Concepción Universidad de Zaragoza (orcid)0000-0003-2284-7862 Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Bailón, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 1012 315 Universidad de Zaragoza Dpto. Farmac.Fisiol.y Med.L.F. Área Farmacología 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 1007 745 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Psiquiatría 68, 4 (2020), 1273 - 1281 IEEE trans. biomed. eng. IEEE Transactions on Biomedical Engineering 0018-9294 737729 http://zaguan.unizar.es/record/95528/files/texto_completo.pdf Postprint 19448 http://zaguan.unizar.es/record/95528/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:95528 articulos driver 2022-04-26-08:52:04 ARTICLE