Control of Sevoflurane Anesthetic Agent Via Neural Network Using Electroencephalogram Signals During Anesthesia

Abstract

In this study, power spectrum of the EEG data and the heartbeat data obtained from 250 patients has been applied to the designed Neural network system. A backpropagation artificial neural network has been developed which contains 53 nodes in the input layer, 27 nodes in the hidden and 1 node in the output layer. In the artificial neural network inputs, the… (More)
DOI: 10.1007/s10916-010-9489-9

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