Accuracy of averaged auditory brainstem response amplitude and latency estimates. (4th May 2018)

• Record Type: Journal Article
• Authors: Madsen, Sara M. K.; Harte, James M.; Elberling, Claus; Dau, Torsten
• Is Part Of: International journal of audiology. Volume 57:Number 5(2018)
• Page Start: 345
• Page End: 353
• Publication Date: 2018-05-04
• Subjects: Auditory brainstem response, signal quality estimators -- post-averaged noise estimators -- ABR latency and amplitude errors; Audiology -- Periodicals; Hearing disorders -- Periodicals; Deafness -- Prevention -- Periodicals; Hearing Disorders -- Periodicals; Hearing -- Periodicals; 617.8
• DOI: 10.1080/14992027.2017.1381770
• Languages: English
• ISSNs: 1499-2027

Abstract

Abstract: Objective : The aims were to 1) establish which of the four algorithms for estimating residual noise level and signal-to-noise ratio (SNR) in auditory brainstem responses (ABRs) perform better in terms of post-average wave-V peak latency and amplitude errors and 2) determine whether SNR or noise floor is a better stop criterion where the outcome measure is peak latency or amplitude. Design : The performance of the algorithms was evaluated by numerical simulations using an ABR template combined with electroencephalographic (EEG) recordings obtained without sound stimulus. The suitability of a fixed SNR versus a fixed noise floor stop criterion was assessed when variations in the wave-V waveform shape reflecting inter-subject variation was introduced. Study sample : Over 100 hours of raw EEG noise was recorded from 17 adult subjects, under different conditions (e.g. sleep or movement). Results : ABR feature accuracy was similar for the four algorithms. However, it was shown that a fixed noise floor leads to higher ABR wave-V amplitude accuracy; conversely, a fixed SNR yields higher wave-V latency accuracy. Conclusion : Similar performance suggests the use of the less computationally complex algorithms. Different stop criteria are recommended if the ABR peak latency or the amplitude is the outcome measure of interest.