An Investigation of Human Error Identification Based on Bio-monitoring System (EEG and ECG Analysis)

Abstract

Human error has been a critical issue at Nuclear Power Plants (NPP) as it accounts for a significant proportion of safety-related incidents. The objective of this research is to investigate the feasibility of using a biomonitoring system (EEG and ECG) to predict and thereby minimize the risk of human error at NPPs. Ten subjects (8 male 2 female) with a mean age of 25 years participated in the experiment. Specifically, the Stroop test was used to measure each participant's accuracy in judgement and reaction time, in answering congruent and incongruent questions. Using these data, both heart rate and brain waves were recorded and analyzed via a power spectrum analysis, EEG and ECG indicators were investigated to determine their potential for identifying human error.