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
American Journal of Electrical and Electronic Engineering.
2019,
Vol. 7 No. 1, 24-25
DOI: 10.12691/ajeee-7-1-5
Copyright © 2019 Science and Education PublishingCite this paper: Kabita Agarwal, Arun Agarwal, Sumanshu Agarwal, 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.
Correspondence to: Arun Agarwal, ,3Department of Electronics and Communication Engineering, Institute of Technical Education & Research, Siksha ‘O’ Anusandhan Deemed to be University, Khandagiri Square, Bhubaneswar-751030, Odisha, India. Email:
arunagrawal@soa.ac.inAbstract
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.
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