Subscribe to the Interacoustics Academy newsletter for updates and priority access to online events
Training in ABR
Bayesian weighting vs traditional artefact rejection in ABR recordings
Description
Summary of: Lightfoot, G., & Stevens, J. (2014). Effects of artefact rejection and Bayesian weighted averaging on the efficiency of recording the newborn ABR. Ear and hearing, 35(2), 213–220. https://doi.org/10.1097/AUD.0b013e3182a4ee10
The auditory brainstem response (ABR) is an integral clinical metric for the estimation of hearing threshold, assessment of the neurological integrity of the auditory system, and most commonly, screening for hearing loss in newborns and babies. However, the ABR response can be constrained by low signal-to-noise ratios (SNR) precluding accurate and reliable responses. Artefact rejection (AR) is one technique used to improve the SNR by allowing signal averaging to continue only if the peak amplitude of the response is below a defined limit. The current study investigates the effect of Bayesian weighting and AR level upon the efficiency of noise reduction across 26 babies referred from the English Newborn Hearing Screening program. ABR recordings using an Interacoustics Eclipse were evaluated for 5 AR levels and 2 AR levels with Bayesian averaging. Strict AR levels are optimal when noise is low; whereas, more lenient AR levels are more efficient when noise is high. Bayesian averaging can facilitate increased efficiency as noise levels increase. This suggests that the use of Bayesian weighting available in the Eclipse offers additional efficiency for reducing the effects of noise on ABR recordings.
Related course: Beyond the Basics: Threshold ABR
Presenter
Get priority access to training
Sign up to the Interacoustics Academy newsletter to be the first to hear about our latest updates and get priority access to our online events.
By signing up, I accept to receive newsletter e-mails from Interacoustics. I can withdraw my consent at any time by using the ‘unsubscribe’-function included in each e-mail.
Click here and read our privacy notice, if you want to know more about how we treat and protect your personal data.
