A Statistical Analysis Algorithm for Brain Waves' Quality Assessment

Fatin E. M. Al-Obaidi†*, Khalid Ghalib Mohammed‡, Asmaa S. J. M. Al-Ragehey†, Dunia F. T. Al – Ani†, Ali Jassim Mohamed Ali† & Noora Sh. O. Qas Nouna†


†Department of Physics, College of Science, Mustansiriyah University, Baghdad, Iraq

‡Department of Physics, College of Education, Mustansiriyah University, Baghdad, Iraq

Corresponding Author Email: sci.phy.fam@uomustansiriyah.edu.iq

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Beat produced in the brain as soon as two nearly equivalent pure tones with slightly different frequencies come together. This paper aims to test, examine and visualize such phenomena through utilizing the objective assessment method which based upon using Structural Similarity Index Metric (SSIM) and Structural Dissimilarity Metric (DSSIM) variations with carrier frequency. Results showed a various variations for the binaural beat in its types; a descending relation appeared in Delta and Theta curves, while a progressive state occurred in the case of Alpha and Beta curves. A Gaussian shape had been resulted for certain series in Gamma relationship with carrier frequency. After all, the best SSIM value can be found in Delta and a range of (1028.5-1029) Hz for Gamma waves. The series (1028.5-1034.5) Hz of Gamma brain wave witnessed a reverse relationship of SSIM and DSSIM with increasing the carrier frequency and this effect coincide with that presented in previous studies of carrier-beat frequencies relation for Gamma brain wave.