|
Volumn , Issue , 2012, Pages 98-101
|
Classification of normal and epileptic EEG signal using time amp; Frequency domain features through artificial neural network
|
Author keywords
Artificial Neural Network; Electroencephalogram (EEG); Epilepsy; Feedforward network; seizure detection
|
Indexed keywords
BRAIN DISORDERS;
BROAD SPECTRUM;
DATA SETS;
DETECTION SYSTEM;
EEG SIGNALS;
EPILEPSY;
EPILEPTIC EEG;
EPILEPTIC SPIKES;
FEED-FORWARD ARTIFICIAL NEURAL NETWORKS;
FEED-FORWARD NETWORK;
FREQUENCY DOMAINS;
GERMANY;
NEURONAL ACTIVITIES;
SEIZURE DETECTION;
SELF ADAPTATION;
SINGLE CHANNELS;
SLIDING WINDOW TECHNIQUES;
TRANSIENT DISTURBANCES;
BRAIN;
NEURAL NETWORKS;
NEUROLOGY;
PATTERN RECOGNITION;
ELECTROENCEPHALOGRAPHY;
|
EID: 84867966842
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICACC.2012.21 Document Type: Conference Paper |
Times cited : (34)
|
References (7)
|