Automated Human Mind Reading Using EEG Signals for Seizure Detection

by   Virender Ranga, et al.

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this disease is recurrent seizures. In the past few decades, the treatments available for seizure control have improved a lot with the advancements in the field of medical science and technology. Electroencephalogram (EEG) is a widely used technique for monitoring the brain activity and widely popular for seizure region detection. It is performed before surgery and also to predict seizure at the time operation which is useful in neuro stimulation device. But in most of cases visual examination is done by neurologist in order to detect and classify patterns of the disease but this requires a lot of pre-domain knowledge and experience. This all in turns put a pressure on neurosurgeons and leads to time wastage and also reduce their accuracy and efficiency. There is a need of some automated systems in arena of information technology like use of neural networks in deep learning which can assist neurologists. In the present paper, a model is proposed to give an accuracy of 98.33 developed system will significantly help neurologists in their performance.


page 5

page 6

page 8


Neural Network Based Epileptic EEG Detection and Classification

Timely diagnosis is important for saving the life of epileptic patients....

EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence

Epilepsy is one of the most occurring neurological diseases. The main ch...

GuessTheMusic: Song Identification from Electroencephalography response

The music signal comprises of different features like rhythm, timbre, me...

Synthetic Epileptic Brain Activities Using Generative Adversarial Networks

Epilepsy is a chronic neurological disorder affecting more than 65 milli...

Development and Testing of a Novel Automated Insect Capture Module for Sample Collection and Transfer

There exists an urgent need for efficient tools in disease surveillance ...

Automated detection of Alzheimer disease using MRI images and deep neural networks- A review

Early detection of Alzheimer disease is crucial for deploying interventi...

Early Prediction of Epilepsy Seizures VLSI BCI System

Controlling the surrounding world and predicting future events has alway...

Please sign up or login with your details

Forgot password? Click here to reset