CLASSIFICATION OF HEARING PERCEPTION LEVEL USING AUDITORY EVOKED POTENTIALS
DOI:
https://doi.org/10.11113/jt.v77.6794Keywords:
EEG, auditory evoked potential, hearing perception level, feed forward network, feedback networkAbstract
An auditory loss is one of the most common disabilities present in newborns and infants in India. A conventional hearing screening test’s applicability is limited as it requires a feedback response from the subject under test. To overcome such problems, the primary focus of this study is to develop an auditory loss assessment system using auditory evoked potential signals (AEP). The AEP responses of fourteen normal hearing subjects to auditory stimuli (20 dB, 30 dB, 40 dB, 50 dB and 60 dB) were derived from electroencephalogram (EEG) recordings. Box counting fractal method is applied to extract the fractal features from the recorded AEP signals. Feed forward and feedback neural networks are employed to distinguish the different hearing perception levels. The performance of the proposed auditory loss assessment system found to exceed 80% accuracy. This study indicates that AEP responses to the auditory stimuli to the normal hearing persons can clearly distinguish the higher order auditory stimuli followed by the lower order auditory stimuli and it can be used to estimate the level of hearing loss in the patient.
References
D. L. Jewett and J. S. Williston. 1971. Auditory Evoked Far Field Averaged From The Scalp Of Humans. Brain Research. 4: 681-686.
G. Plourde. 2006. Auditory Evoked Potentials. Journal Best Practice And Research Clinical Anaesthesia. 20: 129-139.
J. W. Hall. 1991. Handbook of Auditory Evoked Responses. Allyn and Bacon. Boston.
E. Delgada and Ozcan Ozdamar. 1994. Automated Auditory Brainstem Response Interpretation. IEEE Engineering in Medicine and Biology. 13: 227-237.
Tapio Gronfors. 1993. Peak Identification Of Auditory Brainstem Response With Multifilters And Attributed Automation. Journal of Computer Methods and Programs in Biomedicine. 40: 83-87.
Robert Boston. 1989. Automated Interpretation Of Brainstem Auditory Evoked Potential: A Prototype System. IEEE Trans. Biomedical Engg. 36: 528-532.
Edwige Vannier and Olivier Adam. 2002. Objective Detection Of Brainstem Auditory Evoked Potential With A Priori Information From Higher Presentation Levels. Journal of Artificial Intelligence in Medicine. 25: 283-301.
M. Popescu, S. Papadimitriou and D. Karamitsos. 1999. Adaptive Denoising And Multiscale Detection Of The V Wave In Brainstem Auditory Evoked Potentials. Audiology Neurootology. 4: 38-50.
D. R. Stapells. 2002. Cortical Event Related Potentials to Auditory Stimuli. Handbook of Clinical Audiology Baltimore: Williams & Wilkins. J. Katz (Ed.).
Gao Shangkai and Murray H. Loew 1986. An Autoregressive Model of the BAEP Signal For Hearing Threshold Testing. IEEE Trans. on Biomedical Engg. 33: 560-565.
R. Sudirman and S. C. Seow. 2009. Electroencephalographic Based Hearing Identification Using Back Propagation Algorithm. IEEE Int Conf. Science and Technology for Humanity. 991-995.
J. Mason, De Michele, Stevens, Ruth, Hashiaki, G. 2003. Cochlear Implantation In Patients With Auditory Neuropathy Of Varied Etiologies. Laryngoscope.113: 45-49.
American National Standards Institute: Methods for Manual Pure-Tone Threshold Audiometry. 1978. ANSI S 3.21.
CAN/CSA: Mindset-24 Reference Manual on ALTERED-STATE. http://alteredstate.com/index2.htm?/biofeed/mindset.htm.
H. Jasper. 1958. The Ten Twenty Electrode System Of The International Federation. Electroencephalographic and Clinical Neurophysiology. 10: 371-375.
M. Telphan. 2002. Fundamentals of EEG Measurement. Measurement Science Review. 2: 1-11.
Raghavendra, Narayana Dutt. 2010. Computing Fractal Dimension Of Signals Using Multi-Resolution Box- Counting Method. International Journal Of Information And Mathematical Sciences. 6: 50-65.
S.N. Sivanandam, M. Paulraj. 2003. Introduction To Artificial Neural Networks. Vikas Publishing House. India.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
