@article{ART003317664},
author={Joon-Yong Kim},
title={Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2026},
volume={31},
number={3},
pages={169-177}
TY - JOUR
AU - Joon-Yong Kim
TI - Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence
JO - Journal of The Korea Society of Computer and Information
PY - 2026
VL - 31
IS - 3
PB - The Korean Society Of Computer And Information
SP - 169
EP - 177
SN - 1598-849X
AB - Bio-signal-based crisis recognition models have demonstrated high classification performance in healthcare and safety-related applications; however, their real-world adoption is often limited by the lack of interpretability in model decision-making processes. This study explicitly focuses on explainability rather than performance generalization and proposes an explainable artificial intelligence (XAI)-based analytical framework for investigating parameter importance in a bio-signal-based crisis recognition model. An artificial neural network was constructed using five physiological signals: blood pressure, body temperature, heart rate, electrocardiogram (ECG), and galvanic skin response (GSR). Global feature importance was analyzed using SHAP, while local decision behavior for individual samples was interpreted using LIME.
Experimental results show that, despite weak linear correlations among bio-signals, heart rate and ECG consistently play dominant roles in crisis recognition decisions. These findings demonstrate that conventional correlation analysis alone is insufficient to explain nonlinear model behavior and highlight the necessity of XAI techniques for transparent and trustworthy bio-signal-based decision systems.
KW - Bio-signal;Crisis Recognition;Explainable Artificial Intelligence;SHAP;LIME;Feature Importance
DO -
UR -
ER -
Joon-Yong Kim. (2026). Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence. Journal of The Korea Society of Computer and Information, 31(3), 169-177.
Joon-Yong Kim. 2026, "Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence", Journal of The Korea Society of Computer and Information, vol.31, no.3 pp.169-177.
Joon-Yong Kim "Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence" Journal of The Korea Society of Computer and Information 31.3 pp.169-177 (2026) : 169.
Joon-Yong Kim. Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence. 2026; 31(3), 169-177.
Joon-Yong Kim. "Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence" Journal of The Korea Society of Computer and Information 31, no.3 (2026) : 169-177.
Joon-Yong Kim. Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence. Journal of The Korea Society of Computer and Information, 31(3), 169-177.
Joon-Yong Kim. Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence. Journal of The Korea Society of Computer and Information. 2026; 31(3) 169-177.
Joon-Yong Kim. Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence. 2026; 31(3), 169-177.
Joon-Yong Kim. "Parameter Importance Analysis of a Bio-Signal-Based Crisis Recognition Model Using Explainable Artificial Intelligence" Journal of The Korea Society of Computer and Information 31, no.3 (2026) : 169-177.
