168300 20260202151222.0 doi 10.1109/ACCESS.2025.3643644 sideral 147801 ART-2025-147801 deu Cajal, Diego Evaluation of Stress Response Using Smartphone PPG for Anxiety and Depression Monitoring 2025 Diminished stress reactivity is frequently reported in individuals with depression and anxiety. Smartphone-camera photoplethysmography (SCPPG) could offer an innovative, objective, and ambulatory metric for monitoring these conditions. This study aims to evaluate the use of SCPPG to monitor anxiety and depression by analyzing stress responses. Specifically, it examines the autonomic nervous system through heart rate variability using pulse rate variability (PRV) metrics derived from SCPPG. The study involved 79 participants, including patients diagnosed with generalized anxiety disorder and major depressive disorder (n = 22), as well as a control group (n = 57). SCPPG signals were compared with those from a validated device during a stress-inducing protocol, consisting of baseline, stress tests (Trail Making Test and Stroop Test), and recovery phases. Pearson's correlation and Bland-Altman analysis were used to assess the agreement. The results indicate a high correlation (r >= 0.96, p < 0.001) between PRV metrics derived from SCPPG and those from reference devices. Additionally, exhibited minimal bias (1 <= 2%) with the exception of RMSSD (1 = 12%). Notably, SCPPG reliably detects stress reactivity differences between patient and control groups across all PRV metrics (p < 0.05). The study highlights the significance of SCPPG in understanding and personalizing mental health treatments, considering factors such as stress reactivity and recovery. Future research directions include longitudinal studies and improving SCPPG accuracy, particularly for patients with tremors or during dynamic tasks. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/AEI/AEI PID2024-160041OB-I00 info:eu-repo/grantAgreement/ES/DGA/T27-17R info:eu-repo/grantAgreement/ES/DGA/T39-23R info:eu-repo/grantAgreement/ES/MICINN/PDC2021-120775 info:eu-repo/grantAgreement/ES/MICINN/PID2022-138585OA-C32 info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131106B-I00 info:eu-repo/grantAgreement/ES/UZ/UZ2022-IAR-06 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion De La Cámara, Concepción Posadas-De Miguel, Mar Torrijos, Noel Nadal, Óscar Blanco, Teresa Siddi, Sara Armañac, Pablo Universidad de Zaragoza (orcid)0000-0001-5918-1043 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0001-8742-0072 Bailón, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 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. 13 (2025), 212689-212703 IEEE Access IEEE Access 2169-3536 5750528 http://zaguan.unizar.es/record/168300/files/texto_completo.pdf Versión publicada 2723132 http://zaguan.unizar.es/record/168300/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:168300 articulos driver 2026-02-02-14:40:17 ARTICLE