This code was written to estimate the SNR(signal to noise ratio) of single channel evoked potentials waveforms (especially for Vestibular evoked myogenic potentials). The signal to noise ratio is estimated by taking the
difference of the RMS of the specified time sample of the signal from the
specified time sample in the pre-stimulus baseline. The SNR is outputted as an absolute RMS (raw SNR) and an SNR derived from the 20*log(RMS) of the signal and the prestimulus. The plot of the grand-average waveforms on the individual waveform or overlapped to enable in deciding the time samples.
The input waveforms should be in excel file with each waveform as a column in the excel file. You can have multiple waveforms in a single excel file. All are processed simultaneously.
Nike (2019). signal to noise ratio estimation for VEMP waveforms (https://www.mathworks.com/matlabcentral/fileexchange/45010-signal-to-noise-ratio-estimation-for-vemp-waveforms), MATLAB Central File Exchange. Retrieved .
If you happen to use this submission please cite it as follows.
Gnanateja, G. N. (2014). signal to noise ratio estimation for VEMP waveforms. http://www.mathworks.com/matlabcentral/fileexchange/45010-signal-to-noise-ratio-estimation-for-vemp-waveforms, Matlab Central File Exchange. Retrieved on dd-mm-yy.
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The Instructions have been updated. the file format required (.xlsx or .xls) has been mentioned