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Mastication noise reduction method for fully implantable hearing aid using piezo-electric sensor.

Sung Dae Na1, Gihyoun Lee2, Qun Wei3

  • 1Department of Medical & Biological Engineering, Graduate School, Kyungpook National University, Daegu, Korea.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|June 7, 2017
PubMed
Summary

This study developed a method to reduce chewing noise in fully implantable hearing devices (FIHDs) using a piezoelectric sensor. The technique significantly improved signal clarity by increasing the signal-to-noise ratio.

Keywords:
Implantable hearing devicesmastication noisepiezo-electric sensor

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Area of Science:

  • Biomedical Engineering
  • Acoustics
  • Signal Processing

Background:

  • Fully implantable hearing devices (FIHDs) are susceptible to biomechanical noise, particularly mastication (chewing) noise.
  • This noise can degrade the performance and user experience of hearing devices.

Purpose of the Study:

  • To develop and evaluate a method for reducing mastication noise in FIHDs.
  • To utilize a piezoelectric sensor for measuring and mitigating chewing-related vibrations.

Main Methods:

  • A piezoelectric sensor was employed to measure vibration signals from an artificial skull model during simulated mastication.
  • A 1 kHz pure-tone sound was applied to the model, and noise reduction was achieved by analyzing energy differences.
  • MATLAB was used for signal processing to implement the noise reduction technique.

Main Results:

  • The proposed method demonstrated a significant improvement in signal quality.
  • Signal-to-noise ratio (SNR) increased by 4.48 dB.
  • Correlation coefficients improved by 0.45, indicating enhanced signal clarity.

Conclusions:

  • Piezoelectric sensors can effectively measure mastication-induced vibrations.
  • The developed method successfully reduced chewing noise, improving the SNR and correlation coefficients.
  • Future work includes developing an implantable microphone for real-time noise processing.