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Volume-1 (2002);
Issue 4 (October-June) Published on Feb 23, 2003
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2002;4-1 -
Short Communication |
| Rakesh Kumar Sinha,.
Backpropagation Artificial Neural
Network To Detect Hyperthermic Seizures In Rats |
Abstract:
A three-layered feed-forward
back-propagation Artificial Neural Network was used to classify the seizure episodes in
rats. Seizure patterns were induced by subjecting anesthetized rats to a Biological Oxygen
Demand incubator at 45-47ºC for 30 to 60 minutes. Selected fast Fourier transform data of
one second epochs of electroencephalogram were used to train and test the network for the
classification of seizure and normal patterns. The results indicate that the present
network with the architecture of 40-12-1 (input-hidden-output nodes) agrees with manual
scoring of seizure and normal patterns with a high recognition rate of 98.6%.
Key words: Artificial Neural
Network, fast Fourier transform, electroencephalogram, Hyperthermic seizures |
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