A review about Technology in mental health sensing and assessment

¹ Materials, Energy, Acoustics Team, High School of Technology of Sale, Mohammed V University of Rabat, Morocco
² Department of Biomedical Engineering, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Benin
³ Institute of Pharmacy, Department of Drug Regulation Affairs, RFW-University of Bonn, Bonn Germany
⁴ School of Engineering, University of Warwick, Coventry, CV4 7AL, UK

^* Corresponding author: thierry.jossou@gmail.com

Abstract

Information and communication technologies (ICT) such as smart devices, the Internet of Things and wireless sensor networks are gradually being introduced into the health system for early diagnosis and management of certain diseases. The state of the art of the use of these technologies in mental health identified 37 articles published in indexed high impact journals in the period 2003-2021. The snowball sampling method was used to select these papers. From this literature review, it appears that several of these technologies are used to support the early detection of mental disorders. Various systems based on wearable sensor networks, the Internet of Things and pervasive and ubiquitous computing have been designed and implemented in this sense. However, most of the applications are designed for academic purposes. 29% of the papers deal with the use of mobile technology in the detection of mental illness, while 67% have studied other technologies such as wearable sensor networks. 4% of the papers concern the use of web platforms in the detection and assessment of mental health disorders.