Volume 20, Issue 2 (June 2024)                   IJEEE 2024, 20(2): 2996-2996 | Back to browse issues page

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Alazawi A, Jameel H, Mohsen M. Real Time Distortion Product Otoacoustic Emission Using TMS320C6713. IJEEE 2024; 20 (2) :2996-2996
URL: http://ijeee.iust.ac.ir/article-1-2996-en.html
Real Time Distortion Product Otoacoustic Emission Using TMS320C6713
Aws Alazawi , Huda Jameel , Mohammed Mohsen
Abstract:   (250 Views)
This study explores the use of distortion product otoacoustic emission (DPOAE) as a hearing screening modality for newborns and adults with hearing impairment. The goal is to improve cochlear response by developing digital filter characteristics to make it consistent for specialists to make accurate diagnoses. To accomplish this, the proposed system consists of a DPOAE ER-10C as stimulation and cochlear response probe, a digital signal processor, an oscilloscope, PC, and audio cables. Real-time distortion product frequency components were extracted using a signal processor of TMS320C6713. To validate the system, a senior medical physicist at Baghdad Medical City in Iraq conducted a study with five hearing-normal volunteers ages 38 and 55 at the center for hearing and communication. The results showed an ability to extract distortion product components in real-time implementation, with the superiority of shape parameters greater than 0.5. In addition, the quantization of filter coefficients was compared for both floating-point arithmetic and fixed-point arithmetic. Noisy environment-based noise reduction techniques have to be investigated by considering the implementation of robust digital signal processing techniques. Finally, the proposed system would contribute to advancements in hearing screening and treatment for those with hearing impairment. 
Keywords: Distortion product otoacoastic emission, digital signal processor TMS320C6713, fixed point digital signal processing, Kaiser filter, real time biomedical signal processing
Full-Text [PDF 872 kb]   (118 Downloads)    
Type of Study: Research Paper | Subject: Biomedical Signal Processing
Received: 2023/07/28 | Revised: 2024/05/27 | Accepted: 2024/05/08
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.