Modeling and noninvasive correction of auditory disorders with inverse artificial neural network
Koranan Limpaphayom, R.W. Newcomb, Permsarp Isipradit · 2009
A framework for noninvasive correction of hearing impairment is demonstrated with an outlined method of developing into a hearing aid type device. A noninvasive auditory brainstem response (ABR) measured from people with normal hearing and hearing loss is utilized to distinguish among individual hearing functions and characteristics. A model of ABR is developed using the modified nonlinear Hopfield neural network and the model inverse to the modified Hopfield is also derived. The method is presented in system scale as well as in analog behavioral modeling. Simulation results on a model of a patient with sensorineural hearing loss are given as an example.