Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/68080
Título: | Stress among portuguese medical students: the EuStress solution |
Autor(es): | Silva, Eliana Aguiar, Joyce Reis, L. P. Oliveira e Sá, Jorge Gonçalves, Joaquim Carvalho, Victor |
Palavras-chave: | Stress Heart rate variability metrics Wearable devices Medical students |
Data: | 2020 |
Editora: | Springer |
Revista: | Journal of Medical Systems |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/68080 |
DOI: | 10.1007/s10916-019-1520-1 |
ISSN: | 1573-689X |
Versão da editora: | https://link.springer.com/article/10.1007%2Fs10916-019-1520-1 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Silva2020_Article_Stress_Among_Portuguese_MedicalSt.pdf | 397,93 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons