• Jan 05, 2017 News![CFP] 2017 the annual meeting of IJFCC Editorial Board, ICCTD 2017, will be held in Paris, France during March 20-22, 2017.   [Click]
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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(5):524-529 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.219

Neuro-Nimbuzz–An Epileptic Seizure Prediction and Prevention System Using Cloud Deployment and Real-Time Analysis

Niyati Parameswaran, Bharathi Muthu, and Sundaram Swaminathan
Abstract—This paper presents Neuro-Nimbuzz- An Epileptic Seizure Predication System using Cloud Deployment and Real-Time Analysis. Neuro-Nimbuzz is intended to allow an epileptic seizure prediction system to achieve true predictive power in terms of statistical computation, analytical performance estimates and influence of real-time constraints. Intelligence incorporated to Neuro-Nimbuzz’s design makes it capable of generating preferential therapies and treatments for epileptic patients by utilization of customizable dynamic updates. The model proposed focuses on reducing the bridge between a Client Application and a Cloud Environment so as to render seamless operations. Neuro-Nimbuzz’s system model is closely integrated and its concept has the potential to be extended into several other customizable applications.

Index Terms—Classifier, cloud deployment, EEG, ensemble, feature extraction, real-time constraints, recommender system, seizure prediction and seizure prevention

The authors are with Birla Institute of Technology & Science Pilani, Dubai Campus, DIAC, Dubai, UAE (e-mail: niyati.15@ gmail.com, bharathi.smm@ gmail.com, swami@bits-dubai.ac.ae)

[PDF]

Cite: Niyati Parameswaran, Bharathi Muthu, and Sundaram Swaminathan, "Neuro-Nimbuzz–An Epileptic Seizure Prediction and Prevention System Using Cloud Deployment and Real-Time Analysis," International Journal of Future Computer and Communication vol. 2, no. 5, pp. 524-529, 2013.

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