Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring

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Author(s)
Fang, Kai
Wang, Wei
Woźniak, Marcin
Zhang, Qingchen
Yu, Keping
Chen, Junxin
Tolba, Amr
Zhang, Leo
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2024
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Abstract

As The cornerstone of human health, physical and mental well-being are intricately linked, influencing both an individual's physical condition and their emotional state [1]. Chronic diseases such as hypertension and diabetes can have a significant impact on mental health, leading to anxiety and depression [2]. Similarly, psychological problems such as stress, anxiety, and depression can weaken the immune system, making individuals more susceptible to physical illnesses. In recent years, the rapid development of technology has brought exciting new possibilities to the field of physical and psychological health. The Internet of Things (IoT) and artificial intelligence (AI) have shown great potential in building a comprehensive health management system that empowers individuals to take a more proactive role in their well-being.

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IEEE Journal of Biomedical and Health Informatics

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28

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5

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Fang, K; Wang, W; Woźniak, M; Zhang, Q; Yu, K; Chen, J; Tolba, A; Zhang, L, Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring, IEEE Journal of Biomedical and Health Informatics, 2024, 28 (5), pp. 2496-2499