SCG Backpropagation Based Prediction of Stressed EEG Spectrum

In this paper, feature vectors pertaining to the changes in spectral transients of sleep EEG under hot environment has been studied using wavelet transforms and feed forward neural network is employed to detect the stressed patterns. Four continuous hours of sleep EEG recordings of subjects under th...

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Vydané v:	2020 Advances in Science and Engineering Technology International Conferences (ASET) s. 1 - 5
Hlavní autori:	Upadhyay, Prabhat Kumar, Nagpal, Chetna
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2020
Predmet:	Backpropagation EEG Electroencephalography EMG EOG Feature extraction Heating systems Prediction algorithms Scaled Conjugate Gradient Algorithm (SCG) Signal processing algorithms Sleep Stress Classification
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