International Journal of Engineering and Management Research (IJEMR)
  • Year: 2015
  • Volume: 5
  • Issue: 1

Risk Level Optimization and Comparison of Epilepsy in Patient using Chaos-Voxel

  • Author:
  • Jagrati Srivastava, Pradeep Tomar
  • Total Page Count: 8
  • Page Number: 333 to 340

Department of Computer Science & Engineering, School of Information and Communication Technology, Gautam Buddha University, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India

Online published on 21 November, 2017.

Abstract

This paper aim to optimize and compare the Epilepsy in Patient using Chaos-Voxel. The raw EEG signals are sampled and parameter like energy, variance, peaks, sharp and spikes waves, duration, events and covariance are detected. This classification it provide a better way of treating the epileptic patients. It also aims to safeguard the patient's life during the critical situations. The aim of this work is to investigate possible metabolic impairment within the thalamus in patients suffering from both focal (mesial temporal lobe epilepsy with hippocampus sclerosis) and generalized epilepsy using Chaos-Voxel.