Litcius/Paper detail

Iot Enabled Mental Health Diagnostic System Leveraging Cognitive Behavioural Science

Alankrita Rawat, Saikat Gochhait

20222022 International Conference on Decision Aid Sciences and Applications (DASA)13 citationsDOI

Abstract

As the complexities of mental disorders grew in tandem with the COVID-19 pandemic, a technical solution to this problem became urgently necessary. To cater to the needs of those who are unable to reach out for direct assistance, IoT-enabled mental health diagnostic systems, in combination with cognitive-behavioral science, are a lifesaver. Advanced devices are used to track various hormones in the body and to apply behavioral and cognitive science to generate effective results. For this research, several different papers and articles published between 2010 and 2021 were reviewed, highlighting the findings added by these reports and the areas they were unable to explore. This research will be beneficial to numerous network and architecture companies specializing in developing IoT devices for the healthcare industry and researchers, particularly in neuroscience, behavioral science, and psychiatry. It may lead to more robust use of Internet of Things (IoT) devices to detect behavioral anomalies and improve effectiveness by taking corrective measures.

Topics & Concepts

CognitionMental healthComputer scienceInternet of ThingsCoronavirus disease 2019 (COVID-19)PsychologyData scienceInternet privacyPsychiatryMedicinePathologyInfectious disease (medical specialty)DiseaseEEG and Brain-Computer InterfacesEmotion and Mood Recognition