Wavelet denoising of middle latency response in auditory evoked potentials

This paper presents a new approach for obtaining Middle Latency Response (MLR) in auditory evoked potentials. In this study, we first generated synthetic single trial MLR data at some specified noise levels by using gamma-tone function technique and then applied denoising procedure to the noisy MLR synthetic data. We have also compared the denoised MLR and ensemble averaged MLR at different noise levels. Simulation results have been demonstrated that denoised MLR with wavelet transform can be used to reduce single trial numbers for obtaining MLR data. So, the measurement time in clinics will be reduced.