By Ning Zhong, Jianhua Ma, Jiming Liu, Runhe Huang, Xiaohui Tao (eds.)
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A. Patterson, A. Rabkin, I. Stoica, M. Zaharia, Above the Clouds: A Berkeley View of Cloud Computing (Technical report, EECS Department, University of California, Berkeley, 2009) 3. T. Berners-Lee, J. Hendler, O. Lassila, The semantic web. Sci. Am. 284(5), 34–43 (2001) 4. R. B. Marin, A. R. R. Yarza, J. McGinn, R. Picking, V. Grout, User modelling in ambient intelligence for elderly and disabled people, in Proceedings of the 11th International Conference on Computers Helping People with Special Needs (ICCHP 2008) (2008), pp.
Yao, In search of the Wisdom Web. IEEE Comput. 35(11), 27–31 (2002) 76. N. M. Y. Yao, Web Intelligence (WI): a new paradigm for developing the Wisdom Web and social network intelligence, in Web Intelligence (Springer, 2003), pp. 1–16 77. N. M. Y. Yao, Web Intelligence (Springer, 2003) 78. N. Zhong. Building a brain-informatics portal on the wisdom web with a multi-layer grid: a new challenge for web intelligence research, in V. Torra, Y. Narukawa, S. ) Modeling Decisions for Artificial Intelligence (Springer, LNAI 3558, 2005), pp.
Mental disorders also make up China’s largest disease burden—20 % of total burden of disease—in 2011. It is necessary to strengthen the monitoring of brain and mental disorders for diagnosing and treatment as soon as possible. However, only depending on doctors and nurses to complete the monitoring is unpractical because of the giant susceptible population. Using information technologies to support the monitoring of brain and mental disorders becomes a promising approach. We have developed a prototype of the portable brain and mental health monitoring system (brain monitoring system, for short) whose technological framework is shown in Fig.