Estimation of Hearing Loss Using Interactive Pure Tone Audiometric Test with Embedded System Interface

Abstract

Hearing loss is a commonly occurred problem that develops with aging or caused by repeated exposure to loud sound levels. Hearing loss occurs as a result of sound signal not reaching to the brain. Audiometry is the process of measurement of hearing ability by which an audiologist performs hearing test to a person using a device called audiometer. In this process, hearing level is measured by passing audio signals from lower frequencies to higher frequencies through ear phones. The patient gives response to the heard sound pitches whether it is audible or not. The method we propose implements an automatic audiometric signal generation using an audio signal generator which is controlled by a microcontroller. The patient can give the feedback response using a ‘Yes’ or ‘No’ switches thought which the system process the collected data and compares with the played frequencies and calculate the hearing ability which can be displayed during the end of the testing process.

Country : India

1 Sundari.B

  1. Assistant Professor, Dept. of ECE, JCET, Dharmapuri, Tamilnadu, India

IRJIET, Volume 1, Issue 1, September 2017 pp. 1-4

References

  1. Sureewan Jangjit and Mahasak Ketcham, “A Survey of Hearing loss and Hearing Aids”, Int'l Conference on Advanced Computational Technologies & Creative Media (ICACTCM’2014) Aug. 14-15, 2014 Pattaya (Thailand).
  2. M. Mielke and R. Brueck. Design and evaluation of a smartphone application for non-speech sound awareness for people with hearing loss. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual Int. Conf. of the IEEE, pages 5008–5011, 2015.
  3. P. Sun, J. Qin, and W. Qiu, “Development and validation of a new adaptive weighting for auditory risk assessment of complex noise,” Applied Acoustics, vol. 103, pp. 30–36, 2016.
  4. Z. Chen, G. Hu, B. R. Glasberg, and B. C. Moore, “A new method of calculating auditory excitation patterns and loudness for steady sounds,” Hearing research, vol. 282, no. 1, pp. 204–215, 2011.
  5. L. Honeth, C. Bexelius, M. Eriksson, S. Sandin, J. E. Litton, U. Rosenhall, and O. Nyrén, D. Bagger-Sjöbäck, “An internet-based hearing test for simple audiometry in nonclinical settings: preliminary validation and proof of principle,” Otol Neurotol, vol. 31, pp. 708-714, Jul. 2010.
  6. J. M. Choi, H. B. Lee, C. S. Park, S. H. Oh, and K. S. Park, “PC-based tele-audiometry,” Telemed J E Health, vol. 13, pp. 501-508, Oct. 2007.
  7. N. Nakamura, “Development of "Mobile Audiometer" for screening using mobile phones,” Conf Proc IEEE Eng Med Bio Soc, vol. 5, pp. 3369-3372, 2004.
  8. J. Sohn, D. Kim, Y. Ku, K. Lee, and J. Lee, “Study on self hearing assessment using speech sounds,” Conf Proc IEEE Eng Med Biol Soc, pp. 2384-2387, 2011.
  9. Pal, A. K., and H. Mitra, "Noise Pollution in Mines–its Monitoring and Abatement with reference to Underground Mines." (1994): 64-68.