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

Author

Listed:
  • Leonardo J. Gutierrez

    (Sonora Institute of Technology (ITSON), Ciudad Obregon 85130, Mexico)

  • Kashif Rabbani

    (School of Computing, Ulster University, Newtownabbey BT37 0QB, UK)

  • Oluwashina Joseph Ajayi

    (School of Computing, Ulster University, Newtownabbey BT37 0QB, UK)

  • Samson Kahsay Gebresilassie

    (School of Computing, Ulster University, Newtownabbey BT37 0QB, UK)

  • Joseph Rafferty

    (School of Computing, Ulster University, Newtownabbey BT37 0QB, UK)

  • Luis A. Castro

    (Sonora Institute of Technology (ITSON), Ciudad Obregon 85130, Mexico)

  • Oresti Banos

    (CITIC-UGR Research Center, University of Granada, 18014 Granada, Spain)

Abstract

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.

Suggested Citation

  • Leonardo J. Gutierrez & Kashif Rabbani & Oluwashina Joseph Ajayi & Samson Kahsay Gebresilassie & Joseph Rafferty & Luis A. Castro & Oresti Banos, 2021. "Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management," IJERPH, MDPI, vol. 18(3), pages 1-19, February.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1327-:d:491331
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    References listed on IDEAS

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    1. Kim, Suwon & Kim, Seongcheol, 2018. "User preference for an IoT healthcare application for lifestyle disease management," Telecommunications Policy, Elsevier, vol. 42(4), pages 304-314.
    2. Qiu, Xuan & Luo, Hao & Xu, Gangyan & Zhong, Runyang & Huang, George Q., 2015. "Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 159(C), pages 4-15.
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