Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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The Design of Temporal Bone Type Implantable Microphone for Reduction of the Vibrational Noise due to Masticatory Movement

저작운동으로 인한 진동 잡음 신호의 경감을 위한 측두골 이식형 마이크로폰의 설계

  • Woo, Seong-Tak (Graduate School of Electrical Engineering, and Computer Science, Kyungpook National University) ;
  • Jung, Eui-Sung (Institute of Biomedical Engineering Research, Kyungpook National University) ;
  • Lim, Hyung-Gyu (Graduate School of Electrical Engineering, and Computer Science, Kyungpook National University) ;
  • Lee, Yun-Jung (Graduate School of Medical and Biological Engineering, Kyungpook National University) ;
  • Seong, Ki-Woong (Department of Biomedical Engineering, Kyungpook National University Hospital) ;
  • Lee, Jyung-Hyun (Department of Biomedical Engineering, Kyungpook National University Hospital) ;
  • Cho, Jin-Ho (Graduate School of Electrical Engineering, and Computer Science, Kyungpook National University)
  • 우승탁 (경북대학교 대학원 전자.전기.컴퓨터학부) ;
  • 정의성 (경북대학교 의공학연구소) ;
  • 임형규 (경북대학교 대학원 전자.전기.컴퓨터학부) ;
  • 이윤정 (경북대학교 대학원 의용생체공학과) ;
  • 성기웅 (경북대학교병원 의공학과) ;
  • 이정현 (경북대학교병원 의공학과) ;
  • 조진호 (경북대학교 대학원 전자.전기.컴퓨터학부)
  • Received : 2011.12.22
  • Accepted : 2012.03.05
  • Published : 2012.03.31
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Abstract

A microphone for fully implantable hearing device was generally implanted under the skin of the temporal bone. So, the implanted microphone's characteristics can be affected by the accompanying noise due to masticatory movement. In this paper, the implantable microphone with 2-channels structure was designed for reduction of the generated noise signal by masticatory movement. And an experimental model for generation of the noise by masticatory movement was developed with considering the characteristics of human temporal bone and skin. Using the model, the speech signal by a speaker and the artificial noise by a vibrator were supplied simultaneously into the experimental model, the electrical signals were measured at the proposed microphone. The collected signals were processed using a general adaptive filter with least mean square(LMS) algorithm. To confirm performance of the proposed methods, the correlation coefficient and the signal to noise ratio(SNR) before and after the signal processing were calculated. Finally, the results were compared each other.

Keywords

References

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