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Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

1
Sonora Institute of Technology (ITSON), Ciudad Obregon 85130, Mexico
2
School of Computing, Ulster University, Newtownabbey BT37 0QB, UK
3
CITIC-UGR Research Center, University of Granada, 18014 Granada, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Xudong Huang
Int. J. Environ. Res. Public Health 2021, 18(3), 1327; https://doi.org/10.3390/ijerph18031327
Received: 21 October 2020 / Revised: 22 January 2021 / Accepted: 27 January 2021 / Published: 1 February 2021
(This article belongs to the Section Digital Health)
The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work. View Full-Text
Keywords: mental health; Internet of Things (IoT); security; self-organization; service level agreement mental health; Internet of Things (IoT); security; self-organization; service level agreement
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MDPI and ACS Style

Gutierrez, L.J.; Rabbani, K.; Ajayi, O.J.; Gebresilassie, S.K.; Rafferty, J.; Castro, L.A.; Banos, O. Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management. Int. J. Environ. Res. Public Health 2021, 18, 1327. https://doi.org/10.3390/ijerph18031327

AMA Style

Gutierrez LJ, Rabbani K, Ajayi OJ, Gebresilassie SK, Rafferty J, Castro LA, Banos O. Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management. International Journal of Environmental Research and Public Health. 2021; 18(3):1327. https://doi.org/10.3390/ijerph18031327

Chicago/Turabian Style

Gutierrez, Leonardo J., Kashif Rabbani, Oluwashina J. Ajayi, Samson K. Gebresilassie, Joseph Rafferty, Luis A. Castro, and Oresti Banos. 2021. "Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management" International Journal of Environmental Research and Public Health 18, no. 3: 1327. https://doi.org/10.3390/ijerph18031327

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