Stress among Portuguese Medical Students: the EuStress Solution

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Silva, E (Author) FEUP; Aguiar, J (Author) Other; reis, lp (Author) FEUP; Sa, JOE (Author) Other; Goncalves, J (Author) Other; Carvalho, V (Author) Other

Journal

Title: Journal of Medical Systems

Vol. 44

Final page: 45

ISSN: 0148-5598

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 14 Citations

Scopus - 19 Citations

Other information

Authenticus ID: P-00R-ZZ0

DOI: 10.1007/s10916-019-1520-1

Abstract (EN): There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this paper, we introduce the EuStress Solution, that aims to create an Information System to monitor and assess, continuously and in real-time, the stress levels of the students in order to predict burnout. The Information System will use a measuring instrument based on wearable device and machine learning techniques to collect and process stress-related data from the students without their explicit interaction. In the present study, we focus on heart rate and heart rate variability indices, by comparing baseline and stress condition. We performed different statistical tests in order to develop a complex and intelligent model. Results showed the neural network had the better model fit.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6