Key result
Symbolic information entropy of skin conductance response accorded with emotional arousal levels and was less influenced by noise, providing an effective method for analyzing short-term SCR signals.
Symbolic information entropy provides an effective, noise-resistant method for analyzing short-term Skin Conductance Response signals to measure emotional arousal.
Whether difierent afiective states have speciflc physiological activation patterns still does not have an exact interpretation and clear validation. Skin Conductance Response (SCR) is under strict control of the autonomic nervous system, providing an e‐cient way to measure the emotional reactions. Since the emotional SCR signals are always short and noisy, it is of great value to study the methods suitable for short-term SCR analysis. According to the characteristic of SCR signal, we proposed a symbolic method and the symbolic information entropy, further, applied the method to analyse emotional SCR signals. Experiment results show that the symbolic information entropy of SCR is in accordance with the arousal level of emotions, and SCR is more sensitive to the variations of emotional arousal rather than to valence. Symbolic information entropy is less in∞uenced by noise and non-stationary, providing an efiective method in analyzing SCR signals or other complex physiological signals.
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A 2014 study studied Emotional arousal. Symbolic information entropy method was evaluated on Correlation with emotional arousal level. Symbolic information entropy of skin conductance response accorded with emotional arousal levels and was less influenced by noise, providing an effective method for analyzing short-term SCR signals.
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