The single trial or rapid extraction of evoked potentials (EPs) has previously been applied to middle and late latency evoked potentials with the aim of accurately tracking a variety of central nervous system processes. Because the evoked `far fields' are expected to be largely independent of the overlying `near field' EEG noise, it can be argued that single trial extraction techniques are better suited to study rapid extraction of the auditory brainstem response (ABR) compared with the other EPs with cortical origin. However, methods have not been systematically studied to extract variations in the early ABR largely due to the inherent low signal to noise ratio in single trials. Therefore, this thesis aims to systematically analyse the denoising and time-scale variation tracking of the ABR using autoregression with an exogenous input (ARX) and wavelet methods.

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Dr. Anjula C. De Silva is an expert in applying the knowledge of digital signal processing to biological, electromagnetic and financial application domains. He graduated from University of Moratuwa Sri Lanka in 2006 as an Electrical Engineer and was awarded the PhD from Swinburne University of Technology, Australia in 2011.