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AR-IoMT Mental Health Rehabilitation Applications for Smart Cities

Augmented Reality (AR) applications provide major opportunities for healthcare. Mental health rehabilitation in particular is an area that stands to gain from innovations in this field. Debilitating medical conditions related to traumatic brain injuries, aging, and drug abuse, can take advantage from the benefits that these applications provide. Coupled with IoMT (Internet of Medical Things) sensors and machine learning, effective system implementations that predict mental rehabilitation outcomes can be built. This can help in administering better treatment protocols. The collective use of these technologies for therapeutic approaches to alter patient behaviour at a physiological level falls in the emerging field of Digital Therapeutics (DT). In this paper, the current state of AR for mental health rehabilitation is described and used to motivate the implementation of a proof of concept mental DT rehabilitation system developed by us. Similar AR-IoMT systems can reduce inpatient counts in smart cities where an increase in aging populations is already a concern, and existing healthcare resources may be clogged up due to minor inpatient health checkups. In addition, the paper discusses the deployment challenges of the implemented system, which include the lack and need thereof of a standardized protocol for IoMT data collection and analysis for cross interoperability across different healthcare providers and vendors.