Sensing Technologies for Monitoring Serious Mental Illness

Kabita Agarwal¹, Arun Agarwal^2, , Sumanshu Agarwal³ and Gourav Misra⁴

¹Department of Electronics and Telecommunication Engineering, CV Raman College of Engineering, Bhubaneswar-752054, Odisha, India

²,3Department of Electronics and Communication Engineering, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan Deemed to be University, Khandagiri Square, Bhubaneswar-751030, Odisha, India

³School of Electronic Engineering, Dublin City University, Glasnevin, Dublin 9, Ireland

⁴4School of Electronic Engineering, Dublin City University, Glasnevin, Dublin 9, Ireland

Cite this paper

Kabita Agarwal, Arun Agarwal, Sumanshu Agarwal and Gourav Misra. Sensing Technologies for Monitoring Serious Mental Illness. American Journal of Electrical and Electronic Engineering. 2019; 7(1):24-25. doi: 10.12691/AJEEE-7-1-5

Abstract

Mental illness is often known as mental disorder. It can be defined as a behavioral or mental state that can cause some significant amount of distress or impairment of personal functioning. It is a global issue. Most people in the world will be affected by mental or neurological disorder at some point in their lives. Around 450 million individuals have been affected from mental illness. Wearable devices and smartphones may soon be able to help people who suffer from depression, bipolar disorder, schizophrenia, suicidal thoughts and other disorders by monitoring their activity physical symptoms and social interactions for early warning signs of trouble. In this report we have described how sensing technologies can be useful to monitor and diagnose patients and their behavior. So that it would be easy to detect mental illness.

Keywords

mental illness, wearable devices, smartphones, sensors

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

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[3]	R.E. Gur et al., "Flat affect in schizophrenia: relation to emotion processing and neurocognitive measures", Schizophrenia Bulletin, vol. 32, no. 2, pp. 279-287, 2006.