Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
Mental health Internet of Things (IoT) Security Self-organization Service level agreement
Fecha
2021Referencia bibliográfica
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
Patrocinador
Consejo Nacional de Ciencia y Tecnologia (CONACyT); Sonora Institute of Technology (ITSON) via the PROFAPI program PROFAPI_2020_0055; Spanish Ministry of Science, Innovation and Universities (MICINN) project "Advanced Computing Architectures and Machine Learning-Based Solutions for Complex Problems in Bioinformatics, Biotechnology and Biomedicine" RTI2018-101674-B-I00Resumen
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.