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

IEEE Journal of Biomedical and Health Informatics(2024)

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摘要
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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关键词
Internet Of Things,Monitoring Of Patients,Mental Health,Deep Learning,Mental State,Body Temperature,Artificial Intelligence,Electrocardiogram,Emotional States,Time Domain,Cardiac Function,Mental Well-being,Health Management,Facial Expressions,Cognitive Load,Health Data,Deep Learning Models,Air Quality,Peripheral Nervous System,Digital Media
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