Automatic Epileptic Seizure Detection in EEGs Using Time-Frequency Analysis and Probabilistic Neural Network

2012 ◽  
Author(s):  
Aswathy Madhu ◽  
Jayasree V.K. ◽  
Vinu Thomas
Keyword(s):  
Neural Network ◽  
Frequency Analysis ◽  
Epileptic Seizure ◽  
Probabilistic Neural Network ◽  
Seizure Detection ◽  
Epileptic Seizure Detection ◽  
Time Frequency Analysis ◽  
Time Frequency

scholarly journals Implementation of Probabilistic Neural Network using Approximate Entr ximate Entropy to Detect Epileptic Seizur o Detect Epileptic Seizures

2012 ◽  
pp. 7-12
Author(s):  
Roohi Sille ◽  
Garima Sharma ◽  
N. Pradhan
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Epileptic Seizure ◽  
Probabilistic Neural Network ◽  
Epileptic Seizures ◽  
Seizure Detection ◽  
Wavelet Coefficients ◽  
Epileptic Seizure Detection ◽  
Time Frequency ◽  
Eeg Data

Epileptic seizures detection is largely based on analysis of Electroencephalogram signals. The ambulatory EEG recordings generate very lengthy data which require a skilled and careful analysis. This tedious procedure necessitates the use of automated systems for epileptic seizure detection. This paper proposes one such automated epileptic seizure detection technique based on Probabilistic Neural Network (PNN) by using a time frequency domain characteristics of EEG signal called Approximate Entropy(ApEn). Our method consists of EEG data collection, feature extraction and classification. EEG data from normal and epileptic subjects was collected, digitized and then fed into the PNN. For feature extraction, the wavelet coefficients are derived using Discrete Wavelet Transformation. For the feature selection stage a new methodology is proposed, which is, comparing the ApEn values of wavelet coefficients of different EEG data. The experimental results portray that this proposed approach efficiently detects the presence of epileptic seizures in EEG signals and showed a reasonable accuracy.

Time-frequency analysis of accelerometry data for seizure detection

2013 ◽  
Vol 9 (2) ◽  
Author(s):  
Przemysław Korohoda ◽  
Jacek Kołodziej ◽  
Jacek Stępień
Keyword(s):  
Frequency Analysis ◽  
Seizure Detection ◽  
Time Frequency Analysis ◽  
Time Frequency
Sign in / Sign up

Export Citation Format

Share Document