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  • Title: Optimal denoising of brainstem Auditory Evoked Response (BAER) for automatic peak identification and brainstem assessment.
    Author: Jacquin A, Causevic E, John ER, Prichep LS.
    Journal: Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1723-6. PubMed ID: 17945662.
    Abstract:
    Brainstem auditory evoked responses (BAER) are transient signals embedded in the EEG recorded from scalp electrodes, when a subject is presented with a series of acoustic clicks. These signals typically have a signal-to-noise ratio (SNR) well below -10 dB. The extraction of BAER signals from the EEG for the purpose of automatically computing features of interest from the BAER waveform(s) is described in this paper. These features are: 1) Presence of an actual BAER response (at least peak I), 2) Presence of peak V, 3) Inter-peak latency I-V. We propose to combine a signal-adaptive denoising technique based on complex wavelets with a signal quality metric referred to as the FSP variance ratio for quantitative evaluation of signal quality in order to optimally denoise BAER signals and perform reliable waveform analysis.
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