Golshan Ansari - M.Sc. Student Department of Biomedical Engineering Sahand University of Technology Tabriz, Iran
Ataollah Abbasi - Assistant professor Department of Biomedical Engineering Sahand University of Technology Tabriz, Iran
Ateke Goshvarpour - Ph.D. Student Department of Biomedical Engineering Sahand University of Technology Tabriz, Iran

Background: In this research, a biological interpretation for creative thinking is presented. Object: The aim of this research is to investigate the creative behavior based on entropy complexity measurement of ECG signal. Method: ECG signals of 52 participants prior to and during the Torrance test of creative thinking (TTCT) were collected. Three types of entropies including approximate entropy, permutation entropy and wavelet packet log energy entropy were computed from the extracted signals. Finally to assess the results, Wilcoxon test was applied. Results: All three entropies were significantly different before and during creativity tasks. The mean value of approximate entropy oscillated with development of creativity. However, this value for two other entropies decreased. Conclusion: It is clear that each of the related entropies of ECG can be an indicator for discriminating the periods of rest and creativity. Results confirmed that entropy-based analysis allows us to perform an indicator to evaluate the levels of creativity

Creativity, Electrocardiogram, approximate entropy, permutation entropy, wavelet packet log energy entropy