A Systematic Review of Smart Mental Healthcare

Abstract

Over the years, the growth and use of technology in daily life is undeniably fast. Everything is going to be smart with the technology use, from home to vehicle, devices to factories etc. Enabling factors for this smartness are ubiquitous network, sensors or actuators, embedded devices or things, long battery life, internet/web connected devices. In medical domain also, due to increasing burden on the existing architecture, costly medical services, and 24*7 and remote area service unavailability, the use of technology is now gaining momentum. To cure a patient with mental disorder is unquestionably tough as this type of healthcare is very patient-centric, a smaller number of psychiatrist/patient ratio and the social stigmas. So, smart mental healthcare is the need of hour. In this paper we propose a semantic web of things driven, cost and time effective solution towards the self-help initiative for diagnosing and treating patients with depressive disorders while also addressing the current state of art of the discipline. We have selected research material from various databases like Google Scholar, IEEE Explore, Science Direct, PubMed, Web of Science etc. The papers are reviewed with respect to the architecture used in various mental healthcare systems, services of IoT in mental healthcare.