Sensor-based Solutions for Mental Healthcare: A Systematic Literature Review

Nidal Drissi, Sofia Ouhbi, José Alberto García-Berná, Mohammed Abdou Janati Idrissi, Mounir Ghogho

2020

Abstract

Mental well-being is a crucial aspect of the person’s general health, compromised mental health impairs the person’s functioning, decreases the quality of life, and limits the person’s contribution to society. The mental health industry is still facing some barriers to healthcare delivery such as costs, mental health illiteracy, and stigma. Incorporating technological interventions in the treatment and the diagnosis processes might help overcome these barriers. Sensors are devices that have been used for healthcare since the 1990s and have been incorporated into mental healthcare in different forms. In this study, we conducted a systematic literature review to identify and analyze sensor-based solutions for mental healthcare. 12 studies were identified and analyzed. The majority of the selected studies presented methods and models and were empirically evaluated and showed promising accuracy results. Different types of sensors were used to collect different types of data about the patient such as physical and behavioral information. The selected studies mainly addressed the use of sensors for common mental issues like stress and depression or the analysis of general mental status. Some studies reported some limitations mainly related to technological issues and lack of standards.

Paper Citation

in Harvard Style

Drissi N., Ouhbi S., García-Berná J., Idrissi M. and Ghogho M. (2020). Sensor-based Solutions for Mental Healthcare: A Systematic Literature Review. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 593-600. DOI: 10.5220/0009100805930600

in Bibtex Style

@conference{healthinf20,
author={Nidal Drissi and Sofia Ouhbi and José Alberto García-Berná and Mohammed Abdou Janati Idrissi and Mounir Ghogho},
title={Sensor-based Solutions for Mental Healthcare: A Systematic Literature Review},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={593-600},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009100805930600},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - Sensor-based Solutions for Mental Healthcare: A Systematic Literature Review
SN - 978-989-758-398-8
AU - Drissi N.
AU - Ouhbi S.
AU - García-Berná J.
AU - Idrissi M.
AU - Ghogho M.
PY - 2020
SP - 593
EP - 600
DO - 10.5220/0009100805930600
PB - SciTePress