NDLI: iSyNCC: An intelligent system for patient monitoring & clinical decision support in Neuro-Critical-Care

Content Provider	IEEE Xplore Digital Library
Author	Mengling Feng Zhuo Zhang Feng Zhang Yu Ge Liang Yu Loy Vellaisamy, K. Wenyuan Guo Pei Loon Chin King, N.K.K. Beng Ti Ang Cuntai Guan
Copyright Year	2011
Description	Author affiliation: National Neuroscience Institute (NNI), Singapore (King, N.K.K.; Beng Ti Ang) \|\| Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore (Mengling Feng; Zhuo Zhang; Feng Zhang; Yu Ge; Liang Yu Loy; Vellaisamy, K.; Wenyuan Guo; Pei Loon Chin; Cuntai Guan)
Abstract	Close 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.
Starting Page	6426
Ending Page	6429
File Size	759220
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091586
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical monitoring Databases Patient monitoring Servers Forecasting Iterative closest point algorithm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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