The detection of the relation of the stimulus intensity-latency of auditory brainstem response using optimal wavelet analysis

In clinical applications, the rapid detection of the auditory brainstem response (ABR) peak characteristics is required. The input stimulus intensity influences the peak latency of the ABR waveform. In the sound stimulus intensity-latency curve (called I-L curve), the fifth peak (which is called wave V) of ABR waveform is used to diagnose conductive hearing loss or sensorineural hearing loss. In our previous study, we proved that the optimal decomposition level of the fast ABR is the level of D5 (frequency band is from 781 Hz to 1562 Hz), and explained that we used the reconstructed waveform of the ABR by inverse DWT (IDWT). Further more we proposed automated detection of the peak latency of wave V near-threshold according to input stimulus intensities using the template of normal I-L range. In this paper, we examine the following two points. Firstly, we apply the MRA to recorded ABR waveforms that are different number of averagings and we observe the reconstructed waveform at each resolution level. Secondly, we apply the MRA to recorded ABR waveforms that are obtained at the different sound stimulus intensity and we observe the reconstructed waveform at each resolution level.