Epileptic seizure detection using EEG signals and multilayer perceptron learning algorithm

Title

Epileptic seizure detection using EEG signals and multilayer perceptron learning algorithm

Creator

Antoney F.; Ramamurthy B.

Description

Purpose: Epileptic is a neurological chronic disorder that causes unprovoked, recurrent seizure. A seizure is a sudden rush of electrical activity in the brain. The central nervous system characterized by the loss of consciousness and convulsions. Epileptic is caused by abnormal electrical discharge that lead to uncountable movements, loss of consciousness and convulsions. 50-80 million people in the world are affected by this disorder. Now a days children and adults are affected the most and it has been medically treated. Sometimes it may lead to death and serious injuries. In this technology world the computerized detection is an enhanced solution to protect epileptic patients from dangers at the time of this seizure. Method: Perceptron learning algorithm is a supervised learning of binary classifiers and also it is a simple prototype of a biological neuron in artificial neural network. EEG is extensively documented for the diagnosing and assessing brain activates and related disorders. In this paper EEG signals are taken as dataset for epilepsy detection. The data is been represented based on three domains namely frequency, time and time-frequency applied by the chebysev filter for processing the signals. Result: Help the patients from dangers at the time of the seizure. Conclusion: The neurological diseases can be divided into two loss of consciousness and convulsions. In this technology world the seizure can be detected by computerized way like EEG and so on. This paper proposes an epileptic seizure detection using EEG (Electroencephalogram) and perceptron learning algorithm. 2020, IJSTR.

Source

International Journal of Scientific and Technology Research, Vol-9, No. 3, pp. 494-497.

Date

2020-01-01

Publisher

International Journal of Scientific and Technology Research

Subject

Electroencephalogram; Epileptic Seizure; Feature extraction; Multi-LayerPerceptron Learning Algorithm; Support Vector Machine; Wavelet

Coverage

Antoney F., Christ(Deemed to be University), India; Ramamurthy B., Christ(Deemed to be University), India

Rights

Restricted Access

Relation

ISSN: 22778616

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082532848&partnerID=40&md5=9e694ada5a62a144112e83a3cd372f17