文摘
An artificial neural network (ANN) model was developed to classify the level of cognitive workload. A three-step data processing was performed to compensate for individual differences in heart response. Six ECG measures in time (mean IBI, SDNN, and RMSSD) and frequency (LF, HF, and LF/HF) domains were collected. Accuracy of the ANN model was found satisfactory for learning data (95%) and testing data (82%).