Personalized biofeedback systems for stress management

Chronic stress is a growing problem in modern society. When left untreated, this condition can lead to health problems and affect students’ performance.
This project aims to develop an information system for stress reduction based on mobile apps. To achieve this goal, we propose the validation of a wearable device (JamesOne) for the acquisition of biosignals. This device will be coupled with stress prediction algorithms and a biofeedback smartphone app for stress reduction through self-regulation. This project is being developed in collaboration with MindProber and iCognitus.
Outputs: this project has generated 1 publication (Q1).

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Main Project Outcomes

S. Queirós, “Right ventricular segmentation in multi-view cardiac MRI using a unified U-net model”, in E. Puyol Antón et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science, vol 13131, pp. 287-295, Springer, Cham, 2022.

“Best Paper Award in the M&Ms-2 Challenge”, by M&Ms2 Challenge organizers and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.

Main Project Outcomes

1 paper