Assessment of human physchophysiological states based on methods for heart rate variability analysis

Probing ECG-based mental state monitoring on short time segments

“…The HRV in the time domain has been shown to be most effective in WKL classification compared with other features [7].…”

Mental stress recognition based on electrocardiogram

“…F1 score (8) Where 𝑁 , 𝑁 , 𝑁 and 𝑁 denoted the number of true positive, true negative, false positive and false negative samples, respectively.…”

“…However, this method is not only time-consuming and laborious, but also has great subjective differences [7]. In the existing studies, electroencephalogram (EEG), ECG, electrodermal activity (EDA) and other physiological signals play a very important role in the detection of mental stress [4,[8][9][10]. The changes of their signals can effectively represent indicators of physical instability and reflect the activities of the ANS [11].…”