Enhancement of Complex Auditory Brainstem Response to a Voiced Stop Consonant-Vowel Syllable, by Using Lms-Based Adaptive Filter Publisher



Shirzhiyan Z¹ ; Shamsi E¹ ; Keihani A¹ ; Farahi M¹ ; Jafari AH¹ Show Affiliations
Source: 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering# ICBME 2016 Published:2017

Abstract

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. © 2016 IEEE.