title: Optimal denoising of brainstem Auditory Evoked Response (BAER) for automatic peak identification and brainstem assessment.
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.
authors.affiliation: Everest Biomed. Instrum., Chesterfield, MO, USA. arnaudj@everest-co.com
authors.forename: Arnaud
authors.initials: A
authors.lastname: Jacquin
authors.forename: Elvir
authors.initials: E
authors.lastname: Causevic
authors.forename: E Roy
authors.initials: ER
authors.lastname: John
authors.forename: Leslie S
authors.initials: LS
authors.lastname: Prichep
mesh_terms: D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D001933:Brain Stem / Q000502:physiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D016057:Evoked Potentials, Auditory, Brain Stem / Q000502:physiology*; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity