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)
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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.
