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Ribeiro, G. & Postolache, O. (2021). Sensors and mobile interfaces for stress level monitoring in people with diabetes. In 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE). Bucharest, Romania: IEEE.
G. T. Ribeiro and O. Postolache, "Sensors and mobile interfaces for stress level monitoring in people with diabetes", in 2021 12th Int. Symp. on Advanced Topics in Electrical Engineering (ATEE), Bucharest, Romania, IEEE, 2021
@inproceedings{ribeiro2021_1734636086166, author = "Ribeiro, G. and Postolache, O.", title = "Sensors and mobile interfaces for stress level monitoring in people with diabetes", booktitle = "2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)", year = "2021", editor = "", volume = "", number = "", series = "", doi = "10.1109/ATEE52255.2021.9425134", publisher = "IEEE", address = "Bucharest, Romania", organization = "University Politehnica of Bucharest", url = "https://ieeexplore.ieee.org/xpl/conhome/9424932/proceeding" }
TY - CPAPER TI - Sensors and mobile interfaces for stress level monitoring in people with diabetes T2 - 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE) AU - Ribeiro, G. AU - Postolache, O. PY - 2021 SN - 2068-7966 DO - 10.1109/ATEE52255.2021.9425134 CY - Bucharest, Romania UR - https://ieeexplore.ieee.org/xpl/conhome/9424932/proceeding AB - Stress is a natural feeling of not being able to cope with specific demands and events. The stress can become a chronic condition if a person does not take measures to manage it. Several stress meters have been proposed over the years, however still a reduced number of variables were considered mainly the skin conductivity and/or heart rate. Additional variables can be considered such as respiratory rate can be relevant to the estimation of stress level. In this paper, a prototype to measure and predict the stress levels is presented together preliminary experimental values. Moreover, a mobile application was also developed for users' stress assessment. ER -