Toward an IoB-Based Architecture for Bipolar Disorder Management

Bipolar disorder is a challenging mental health condition characterized by recurrent periods of depression and mania. Successful management of bipolar disorder necessitates ongoing monitoring of symptoms, triggers, and individual behaviors. The emergence of the Internet of Behaviors (IoB) offers a promising prospect to enhance bipolar disorder management through the utilization of connected devices and behavioral data analysis. This paper proposes an IoB-based architecture for managing bipolar disorder. By leveraging connected devices and behavioral data analysis, the architecture aims to provide real-time insights, personalized recommendations, and early warning signs. In order to enhance the security of data, we integrate the blockchain technology to the proposed architecture. The potential advantages of implementing such an architecture are examined as well as some areas for future research are explored.