Title of article
A Statistical Analysis Algorithm for Brain Waves' Quality Assessment
Author/Authors
Al-Obaidi, Fatin E. M. Department of Physics - Mustansiriyah University, Baghdad, Iraq , Mohammed, Khalid Ghalib Department of Physics - Mustansiriyah University, Baghdad, Iraq , Al-Ragehey, Asmaa S. J. M. Department of Physics - Mustansiriyah University, Baghdad, Iraq , Al - Ani, Dunia F. T. Department of Physics - Mustansiriyah University, Baghdad, Iraq , Mohamed Ali, Ali Jassim Department of Physics - Mustansiriyah University, Baghdad, Iraq , Qas Nouna, Noora Sh. O. Department of Physics - Mustansiriyah University, Baghdad, Iraq
Pages
8
From page
1
To page
8
Abstract
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.
Keywords
Binaural beat , Delta wave , Theta wave , Alpha wave , Beta wave , Gamma wave , the Carrier frequency
Journal title
Journal of Mechanical Engineering Research and Developments
Serial Year
2020
Full Text URL
Record number
2605890
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