NDLI: EEG based hearing perception level classification using fractal features

Content Provider	IEEE Xplore Digital Library
Author	Paulraj, M.P. Subramaniam, K. Bin Yaccob, S. Bin Adom, A.H. Hema, C.R.
Copyright Year	2013
Description	Author affiliation: Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia (Paulraj, M.P.; Subramaniam, K.; Bin Yaccob, S.; Bin Adom, A.H.) \|\| Karpagam Univ., Coimbatore, India (Hema, C.R.)
Abstract	The primary focus of this study is to develop a hearing ability level assessment system using auditory evoked potential signals (AEP). AEP signal is a non-invasive tool that provides auditory pathway information content and its stimulated interactions with neurons. To record the hearing perception levels at different sound intensity levels, namely, 20 dB, 30 dB, 40 dB, 50 dB and 60 dB in both the ears of a normal subject, a simple AEP based hearing perception level protocol has been proposed. The detrended fluctuation analysis (DFA) has been used to estimate the fractal values of different hearing perception levels of the recorded AEP signals. The extracted fractal features were then associated to different hearing perception levels of a subject and neural network models were developed. The maximum classification accuracy of the developed neural network models for the left and right ears are observed as 78.57% and 80.71% respectively. From the classification accuracy, it has been inferred that the neural network models are able to discriminate the five distinct hearing perception levels of a normal hearing person.
Starting Page	1
Ending Page	4
File Size	218948
Page Count	4
File Format	PDF
e-ISBN	9781479935062
DOI	10.1109/ICACCS.2013.6938753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Hearing perception Neurons Auditory stimuli level EEG Auditory evoked potential Auditory system Ear Feature extraction Electroencephalography Fractals Neural network
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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