ABSTRACT
Coherence analysis is a conventional method for measuring electroencephalographic (EEG) signals. The analysis involves applying a digital signal processing technique for measuring the respective power spectrum of each EEG signal. Locatelli et al [7] indicated that the linear dynamics of EEG coherence might contain useful indicators of the mechanical characteristics of brain response systems. In addition, there is no direct evidence for the adverse effects of exposure to low-frequency noises of various intensities. Therefore, various methods for measuring EEG synchronisation, such as the phase coherence of EEG
signals, have been implemented [8]. A coherence value in frequency f indicates that the power in frequency f of the first signal is synchronous with the power of the second one. Coherence means synchrony or the coupling of 2 electrodes in a given frequency band [9]. The coherence measure has been considered to reflect functional connectivity [10, 11] in pathways linking the temporal activity of neural populations. Coherence analysis has previously been used successfully to diagnose diseases such as Alzheimer’s disease [12] and Dyslexia [14], as well as to examine age and sex-based effects [13]. However, whether spectral coherence measure is helpful in determining the non-auditory effects of low-frequency noise exposure on EEG signals remains unclear.
