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Computer-aided prediction of hearing loss based on auditory perception

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Abstract

Hearing loss is the principle cause behind hearing impairment and deafness around the world. It is a significant health problem affecting our world today and it is growing exponentially among young and adults due to aging, hearing impairment, listening to music and noise exposure. Treatment options for hearing loss are very limited and it can only be controlled by taking precautions in the early stages. Thus, proper education is required to spread awareness among people to use hearing protections, reduce exposure to loud music and other risk factors. In this paper, we present a computer-aided method to predict and then prevent hearing loss. Three predictive models (human age estimation, prediction of hearing loss and level of hearing loss) based on auditory perception are presented. Our predictive model of human age estimation is very robust with a Mean Absolute Error (MAE) value of 4.1 years, while the accuracy of the second predictive model of hearing loss is equal to 94% and the third predictive model of the level of hearing loss present an accuracy of 90%. Our computer-aided prediction methods of hearing loss is found very promising and can be used in real application systems and 503 subjects participated to conduct the experiment.

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Acknowledgements

We would like to thank Hina Rehman, PhD student, from the University of Malakand, who provided insight and expertise that greatly assisted the research and the process of data collection. We would also like to show our gratitude to Professor Dr. Rehman Ghani, the Director of Shafiq Medical Centre, Abbottabad Pakistan for sharing their pearls of wisdom with us during the course of data acquisition and sharing the knowledge about the medical aspects for the experiments. We would also like to thank Dr. Sundus Ghani, a resident doctor at 2 Ayub teaching hospital and Zara Ibrar, a resident doctor at Khyber medical university for there support in the process of data collection.

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  1. LISSI, UPEC, Universite Paris-Est, 94400, Vitry sur Seine, France

    Muhammad Ilyas, Alice Othmani & Amine Nait-ali

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  1. Muhammad Ilyas
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  2. Alice Othmani
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  3. Amine Nait-ali
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Correspondence to Muhammad Ilyas.

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Ilyas, M., Othmani, A. & Nait-ali, A. Computer-aided prediction of hearing loss based on auditory perception. Multimed Tools Appl 79, 15765–15789 (2020). https://doi.org/10.1007/s11042-020-08910-w

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  • DOI: https://doi.org/10.1007/s11042-020-08910-w

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