Epilepsy Seizure Diagnosis Using Artificial Neural Network
Abstract: Epilepsy seizure is a disease related to the brain. EEG signals are required for diagnosis of this disease. Highly skilled professional doctors are required to observe the EEG signal and then also it is not possible to get high accuracy. Artificial Neural Network (ANN) is preferred for diagnosis of Epilepsy seizures. ANN provides higher accuracy to diagnose the Epilepsy seizure. With the use of ANN we can observe and analyze the EEG signal and also this approach is faster. Here in this paper Artificial Neural Network is used for training and testing of EEG data and Wavelet Transform for EEG signal processing. An accuracy of about 99 % is achieved using feed forward time delaying neural network.
Keywords: Epilespy Seizure, EEG Signals, Artificial Neural Network ANN, Wavelet Transform
How to Cite?: Mudit Khandelwal, Dr. Jagdish Kumar, "Epilepsy Seizure Diagnosis Using Artificial Neural Network", Volume 6 Issue 4, April 2017, International Journal of Science and Research (IJSR), Pages: 597-600, https://www.ijsr.net/getabstract.php?paperid=ART20172350, DOI: https://dx.doi.org/10.21275/ART20172350