Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being

Rahmani, Amir M.; Lai, Jocelyn; Jafarlou, Salar; Yunusova, Asal; Rivera, Alex. P.; Labbaf, Sina; Hu, Sirui; Anzanpour, Arman; Dutt, Nikil; Jain, Ramesh; Borelli, Jessica L.

doi:10.48550/arxiv.2012.09131

Cited by 1 publication

(1 citation statement)

References 62 publications

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“…It also places a burden on the patient responsible for accurately assessing and reporting their experiences. Moreover, the existing mental healthcare system is also limited by a lack of holistic information about the context of daily life when it comes to small changes in mental health, emotions, and symptoms throughout activities of daily living [122], [121].…”

Section: Case Studymentioning

confidence: 99%

Fusion of IoT, AI, Edge–Fog–Cloud, and Blockchain: Challenges, Solutions, and a Case Study in Healthcare and Medicine

Firouzi

Jiang

Chakrabarty

et al. 2023

IEEE Internet Things J.

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The digital transformation is characterized by the convergence of technologies -from the Internet of Things (IoT) to Edge-Fog-Cloud computing, Artificial Intelligence (AI), and Blockchain -in multiple dimensions blurring the lines between the physical and digital worlds. Although these innovations have evolved independently over time, they are increasingly becoming more intertwined, driving the development of new business models. With more adaptation, embracement, and development, we are witnessing a steady convergence and fusion of these technologies resulting in an unprecedented paradigm shift that is expected to disrupt and reshape the next generation systems in vertical domains in a way that the capabilities of the technologies are aligned in the best possible way to complement each other. Despite the fact that the convergence of the four technologies can potentially tackle the main shortcomings of existing systems, its adoption is still in its infancy phase, suffering from several issues, such as the absence of consensus towards any reference models or best practices. This paper provides a comprehensive insight into the fusions of these paradigms by discussing a blend of topics addressing all the importation aspects from design to deployment. We will begin this paper by providing an in-depth discussion on the main requirements, state-of-the-art reference architectures, applications, and challenges. Following this, we will present a reference architecture and a case study on privacy-preserving stress monitoring and management to better elaborate on the corresponding details and considerations.

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Section: Case Studymentioning

confidence: 99%