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“Sensing the Mind”: An Exploratory Study About Sensors Used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition

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Efficient Data Handling for Massive Internet of Medical Things

Part of the book series: Internet of Things ((ITTCC))

Abstract

Mental health, being one of the major concerns for mankind, has raised a question towards the technological growth of new cutting-edge technology-enabled civilization. According to a recent report published by the WHO, over 8 million of people attempt suicide around the year every year, which means in every 40 seconds 1 person commits suicide among them, and 60% of suicidal deaths are caused by depression. Depression is such a silent killer that a person can’t even be aware of his depressive status. Also, some additional factors like our mental and societal barriers sojourn us from going to a psychologist’s chamber for a consultancy. Moreover, the depressive symbols are not always very explicit. Today, with the highly emerging use of IoT and machine learning technologies in every corner of our lives, this field also has witnessed some rays of hope. This chapter covers the aspect of different sensors and IoT devices that are being used for detection of mental health problems from some of our words, expressions or body languages. This chapter has been segmented in mainly three parts: The first part is for the basic understanding of the depression status and their types, next part discusses about literature survey to identify the gap between the current scenario and the future roadmap, and the other important segment discusses about different sensor devices which are being used in this area. This chapter has performed an exploratory study over several research papers working in this area, and the basic trends have been identified.

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Authors and Affiliations

  1. Department of Computational Science, Brainware University, Kolkata, India

    Ahona Ghosh & Sharmistha Dey

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  1. Ahona Ghosh
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Editors and Affiliations

  1. Electronics and Communication, Birla Institute of Technology, Mesra, Deoghar, Jharkhand, India

    Chinmay Chakraborty

  2. Vanderbilt University, Nashville, TN, USA

    Uttam Ghosh

  3. Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA

    Vinayakumar Ravi

  4. Aranca Technology Research & Advisory, Mumbai, Maharashtra, India

    Yogesh Shelke

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Ghosh, A., Dey, S. (2021). “Sensing the Mind”: An Exploratory Study About Sensors Used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition. In: Chakraborty, C., Ghosh, U., Ravi, V., Shelke, Y. (eds) Efficient Data Handling for Massive Internet of Medical Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-66633-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-66633-0_12

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