Suppressing Epileptic Seizures using the power of Neural Networks
An Epileptic seizure is defined as a transient synchronous neuronal activity which may temporarily lead to loss of motor functions. About 50 Million people worldwide suffer from Epilepsy and about 1.9% deaths in Epileptic patients are due to prolonged seizures. Currently medication and surgery are dominant solutions to this problem however both have severe downsides in terms of loss in quality of life. A new approach is based on stimulating the brain using a chip (electroceutical device) inserted in the epicenter of seizure activity. Thus, the problem statement is designing a detection and prediction algorithm to be used in this closed-loop electroceutical device which will be used to treat epilepsy and potentially also treat other brain disorders.