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Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats

Sinha, Mr Rakesh Kumar (2002) Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats. [Journal (On-line/Unpaginated)]

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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%.

Item Type:Journal (On-line/Unpaginated)
Keywords:Artificial Neural Network, fast Fourier transform, electroencephalogram, Hyperthermic seizures
Subjects:JOURNALS > Online Journal of Health and Allied Sciences
ID Code:3226
Deposited By:Kakkilaya Bevinje, Dr. Srinivas
Deposited On:17 Oct 2003
Last Modified:11 Mar 2011 08:55

References in Article

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