title: Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats
creator: Sinha, Mr Rakesh Kumar
subject: Online Journal of Health and Allied Sciences
description: 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%.
publisher: Kakkilaya BS
contributor: Kakkilaya Bevinje, Dr Srinivas
date: 2002-12
type: Journal (On-line/Unpaginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/3226/1/2002-4-1.pdf
identifier:   Sinha, Mr Rakesh Kumar  (2002) Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats.  [Journal (On-line/Unpaginated)]     
relation: http://cogprints.org/3226/