Lately, the research on human emotion has attracted the interest of several disciplines, including computer science, cognitive science, and psychology. As such, the aim of study was to examine the effects of binaural beats music on depression disorders. This study was conducted based on an experimental design in which electroencephalography (EEG) was utilized to capture brain signals. The EEGlab toolbox of Matlab was used to extract the relevant features of the brain signals. For feature filtering, brain signals were filtered by using ‘Butterworth 5th order’. EEG signals were then converted from the time to the frequency domain by utilizing Fast Fourier Transform (FFT). A sample of 90 depressive participants was exposed to binaural beats music. One-way ANOVA was used to compare the differences in the effects based on three different time intervals, which were labelled as before listening, during listening, and after listening phases. Descriptive and statistical analysis .....

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