Predicting heat-stressed EEG spectra by self-organising feature map and learning vector quantizers—

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ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

"Predicting heat-stressed EEG spectra by self-organising feature map and learning vector quantizers——SOFM and LVQ based stress prediction"
written by Prabhat Kumar Upadhyay, Rakesh Kumar Sinha, Bhuwan Mohan Karan,
published by Journal of Biomedical Science and Engineering, Vol.3 No.5, 2010

has been cited by the following article(s):

[1]	ANFIS Detects the Changes in Stressful Patterns of Sleep EEG
	2021

[2]	Time-frequency analysis and fuzzy-based detection of heat-stressed sleep EEG spectra
	2021

[3]	SCG Backpropagation Based Prediction of Stressed EEG Spectrum
	2020

[4]	PCA-Aided FCM Identifies Stressful Events of Sleep EEG Under Hot Environment
	2020

[5]	Adaptive Neuro Fuzzy Inference System Technique on Polysomnographs for the detection of Stressful Conditions
	IETE Journal of Research, 2018

[6]	Wavelet-Neural Classification of Sleep EEG under Stressful Condition
	2013

[1]	PCA-Aided FCM Identifies Stressful Events of Sleep EEG Under Hot Environment IETE Journal of Research, 2022 DOI:10.1080/03772063.2020.1782273

[2]	Advances in Biomedical Engineering and Technology Lecture Notes in Bioengineering, 2021 DOI:10.1007/978-981-15-6329-4_9

[3]	Time-frequency analysis and fuzzy-based detection of heat-stressed sleep EEG spectra Medical & Biological Engineering & Computing, 2020 DOI:10.1007/s11517-020-02278-7

[4]	SCG Backpropagation Based Prediction of Stressed EEG Spectrum 2020 Advances in Science and Engineering Technology International Conferences (ASET), 2020 DOI:10.1109/ASET48392.2020.9118324

[5]	Adaptive Neuro Fuzzy Inference System Technique on Polysomnographs for the detection of Stressful Conditions IETE Journal of Research, 2018 DOI:10.1080/03772063.2018.1429325

[6]	Pattern Classification Based on Self-Organizing Feature Mapping Neural Network Applied Mechanics and Materials, 2013 DOI:10.4028/www.scientific.net/AMM.448-453.3645

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