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

被引:0
|
作者
Fang, Kai [1 ]
Wang, Wei [2 ]
Wozniak, Marcin [3 ]
Zhang, Qingchen [4 ]
Yu, Keping [5 ]
Chen, Junxin [6 ]
Tolba, Amr [7 ]
Zhang, Leo [8 ]
机构
[1] Zhejiang A&F Univ, Hangzhou 311399, Peoples R China
[2] Shenzhen MSU BIT Univ, Shenzhen 518115, Peoples R China
[3] Silesian Tech Univ, PL-44100 Gliwice, Poland
[4] Francis Xavier Univ, Antigonish, NS B2G 2W5, Canada
[5] Waseda Univ, Tokyo 1698050, Japan
[6] Northeastern Univ, Shenyang 110004, Peoples R China
[7] King Saud Univ, Riyadh 11451, Saudi Arabia
[8] Deakin Univ, Docklands, Vic 3008, Australia
关键词
Special issues and sections; Artificial intelligence; Data models; Patient monitoring; Medical services; Psychology; Physiology; Mental health; Anxiety disorders; Depression; Immune system; Internet of Things; Internet of Medical Things; Diseases; HEALTH;
D O I
10.1109/JBHI.2024.3384719
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:2496 / 2499
页数:4
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