Enhancement of complex auditory brainstem response to a voiced stop consonant-vowel syllable, by using LMS-based Adaptive Filter

The complex auditory brainstem response to voiced stop consonant-vowel syllables is a newborn biopotential which is going to be a powerful biological marker for diagnosing central auditory processing disorders, and reflects training, learning and aging phenomena in the auditory system; However, this response is deeply buried in the background EEG signals. In other words, signal-to-noise ratio (SNR) of this response is very low. The most common method for signal enhancement is the coherent ensemble averaging, which needs a large number of trials, and is very time-consuming. In this study, we used LMS-based adaptive filter to enhance the responses while decreasing the number of required trials for achieving an acceptable SNR. This method was tested on 15 subjects` complex auditory brainstem responses. The results show that LMS-based adaptive filter can enhance the SNR of complex auditory brainstem responses to about 56.2% with respect to coherent ensemble averaging.