• Mengling Feng, Zhuo Zhang, Feng Zhang, Yu Ge, Liang Yu Loy, Kuralmani Vellaisamy, Wenyuan Guo, Pei Loon Chin, Nicolas Kon Kam King, Beng Ti Ang, and Cuntai Guan.
• Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. mornin@gmail.com
• Conf Proc IEEE Eng Med Biol Soc. 2011 Jan 1; 2011: 6426-9.

AbstractClose monitoring and timely treatment are extremely crucial in Neuro Intensive/Critical Care Units (NICUs) to prevent patients from secondary brain damages. However, the current clinical practice is labor-intensive, prone to human errors and ineffective. To address this, we developed an integrated and intelligent system, namely iSyNCC, to enhance the effectiveness of patient monitoring and clinical decision makings in NICUs. The requirements of the system were investigated through interviews and discussions with neurosurgeons, neuroclinicians and nurses. Based on the summarized requirements, a modular 2-tier system is developed. iSyNCC integrates and stores crucial patient information ranging from demographic details, clinical & treatment records to continuous physiological monitoring data. iSyNCC enables remote and centralized patient monitoring and provides computational intelligence to facilitate clinical decision makings.

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