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@article{ART003009736},
author={SuJin Bak},
title={Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={10},
pages={133-153},
doi={10.9708/jksci.2023.28.10.133}

TY - JOUR
AU - SuJin Bak
TI - Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 10
PB - The Korean Society Of Computer And Information
SP - 133
EP - 153
SN - 1598-849X
AB - In this paper, we propose a novel approach to investigating brain-signal measurement technology using Electroencephalography (EEG). Traditionally, researchers have combined EEG signals with bio-signals (BSs) to enhance the classification performance of emotional states. Our objective was to explore the synergistic effects of coupling EEG and BSs, and determine whether the combination of EEG+BS improves the classification accuracy of emotional states compared to using EEG alone or combining EEG with pseudo-random signals (PS) generated arbitrarily by random generators. Employing four feature extraction methods, we examined four combinations: EEG alone, EG+BS, EEG+BS+PS, and EEG+PS, utilizing data from two widely-used open datasets. Emotional states (task versus rest states) were classified using Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) classifiers. Our results revealed that when using the highest accuracy SVM-FFT, the average error rates of EEG+BS were 4.7% and 6.5% higher than those of EEG+PS and EEG alone, respectively. We also conducted a thorough analysis of EEG+BS by combining numerous PSs. The error rate of EEG+BS+PS displayed a V-shaped curve, initially decreasing due to the deep double descent phenomenon, followed by an increase attributed to the curse of dimensionality. Consequently, our findings suggest that the combination of EEG+BS may not always yield promising classification performance.
KW - Curse of dimensionality;Deep double descent;EEG;Feature extraction;ML
DO - 10.9708/jksci.2023.28.10.133
ER -

SuJin Bak. (2023). Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances. Journal of The Korea Society of Computer and Information, 28(10), 133-153.

SuJin Bak. 2023, "Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances", Journal of The Korea Society of Computer and Information, vol.28, no.10 pp.133-153. Available from: doi:10.9708/jksci.2023.28.10.133

SuJin Bak "Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances" Journal of The Korea Society of Computer and Information 28.10 pp.133-153 (2023) : 133.

SuJin Bak. Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances. 2023; 28(10), 133-153. Available from: doi:10.9708/jksci.2023.28.10.133

SuJin Bak. "Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 133-153.doi: 10.9708/jksci.2023.28.10.133

SuJin Bak. Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances. Journal of The Korea Society of Computer and Information, 28(10), 133-153. doi: 10.9708/jksci.2023.28.10.133

SuJin Bak. Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances. Journal of The Korea Society of Computer and Information. 2023; 28(10) 133-153. doi: 10.9708/jksci.2023.28.10.133

SuJin Bak. Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances. 2023; 28(10), 133-153. Available from: doi:10.9708/jksci.2023.28.10.133

SuJin Bak. "Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 133-153.doi: 10.9708/jksci.2023.28.10.133