Download Smart ABR System for Hearing Screening

Smart ABR System for Hearing Screening
Smart ABR System can replace the traditional approach of hearing screening. This process shows
significance improvement on the specificity percentage compared to traditional TEOAE method. Besides
that, our hybrid kalman filtering method has greatly reduce the sweeps or stimulus time which make the
application of ABR more feasible for baby hearing screening.
The conventional 1000 sweeps stimulus ABR system consumes a lot of time for data collection. It is very
irritating to baby thus baby might move around. Normally doctors will give sedation to the baby so that
the data collection (1000 sweeps) is smooth without any baby movement. The reduction of 1000 sweeps
to 400 sweeps manage to reduce the data collection time from 3-4 minutes to 1 minutes which makes
the baby feel comfortable, hence no sedation needed. With this breakthrough, the proposed product
will become a useful tool for baby hearing screening.
Conventional 1000 sweeps averaging ABR method has been long introduced to government hospital.
However, the time consuming method requires sedation and most parents do not want their baby to go
through the process. This made the system not widely used for baby hearing screening and only used for
those high risk group people.
With our innovative way of enhancing the recording time and stimulus pattern, this system can now be
widely used for baby hearing screening and do not need any sedation for it.
This product uses 3 active electrodes to capture EEG signal from brain. The chirp stimulus is given to the
ear needed to be tested. The signal captured will be analysed using hybrid Wavelet-Kalman Filtering
method.
The hybrid Wavelet-Kalman Filtering has never been implemented for Auditory Brainstem Response
(ABR) application. It has better performance compared to conventional techniques which use averaging
method.
Besides that, we propose a better stimulus type by replacing conventional clicks with chirps. Chirps
stimulus enhances the wave V amplitude which is the indicator for hearing ability.
We propose a new idea of hybrid wavelet-kalman filter technique which is novel technique. Kalman filter
is an optimal recursive data processing algorithm, where it considers the criteria of state, system
dynamical, controls, system error function, observation measurement, etc. The technique optimizes
digital signal processing and dramatically reduces artifacts coming from muscular and ocular electrical
activity. Its implementation in the ABR signal processing would help better noise filtering with the
minimal number of sweeps.
Advantages
 High sensitivity and specificity (by using new chirp stimulus to enhance the amplitude of wave V)
 Durable and less time recording (by reducing of 1000 sweeps to 400 sweeps)
 The system is now feasible for all babies (fast detection and do not need sedation)
Application:
 Newborn hearing screening
 Adult hearing screening