Information System for Monitoring and Assessing Stress Among Medical Students

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Eliana Silva (Author) FEUP; Joyce Aguiar (Author) Other; Luís Paulo Reis (Author) FEUP; Jorge Oliveira e Sá (Author) Other; Joaquim Gonçalves (Author) Other; Victor Carvalho (Author) Other

Conference proceedings International

Title: Advances in Intelligent Systems and Computing

Pages: 587-596

World Conference on Information Systems and Technologies, WorldCIST 2019

16 April 2019 through 19 April 2019

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Q-K5W

DOI: 10.1007/978-3-030-16184-2_56

Abstract (EN): The severe or prolonged exposure to stress-inducing factors in occupational and academic settings is a growing concern. The literature describes several potentially stressful moments experienced by medical students throughout the course, affecting cognitive functioning and learning. 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 individuals in order to predict chronic stress. The Information System will use a measuring instrument based on wearable devices and machine learning techniques to collect and process stress-related data from the individual without his/her explicit interaction. A big database has been built through physiological, psychological, and behavioral assessments of medical students. In this paper, we focus on heart rate and heart rate variability indices, by comparing baseline and stress condition. In order to develop a predictive model of stress, we performed different statistical tests. Preliminary results showed the neural network had the better model fit. As future work, we will integrate salivary samples and self-report questionnaires in order to develop a more complex and intelligent model. © Springer Nature Switzerland AG 2019.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10