Woo SeongTak, Jung EuiSung, Lim HyungGyu, Lee Jang Woo, Seong Ki Woong, Won Chul Ho, Kim Myoung Nam, Cho Jin Ho, Lee Jyung Hyun
Graduate School of Electrical Engineeing, Kyungpook National University, Sangyuk-dong, Buk-Gu, Daegu, 702-701, S. Korea.
Biomed Mater Eng. 2014;24(1):439-44. doi: 10.3233/BME-130828.
Input for fully implantable hearing devices (FIHDs) is provided by an implantable microphone under the skin of the temporal bone. However, the implanted microphone can be affected when the FIHDs user chews. In this paper, a dual implantable microphone was designed that can filter out the noise from mastication. For the in vivo experiment, a fabricated microphone was implanted in a rabbit. Pure-tone sounds of 1 kHz through a standard speaker were applied to the rabbit, which was given food simultaneously. To evaluate noise reduction, the measured signals were processed using a MATLAB program based adaptive filter. To verify the proposed method, the correlation coefficients and signal to-noise ratio before and after signal processing were calculated. By comparing the results, signal-to-noise ratio and correlation coefficients are enhanced by 6.07dB and 0.529 respectively.
完全植入式听力设备(FIHDs)的输入由颞骨皮下的植入式麦克风提供。然而,当FIHDs用户咀嚼时,植入的麦克风会受到影响。在本文中,设计了一种双植入式麦克风,它可以滤除咀嚼产生的噪音。对于体内实验,将一个制作好的麦克风植入兔子体内。通过标准扬声器向兔子施加1kHz的纯音,同时给兔子喂食。为了评估降噪效果,使用基于MATLAB程序的自适应滤波器对测量信号进行处理。为了验证所提出的方法,计算了信号处理前后的相关系数和信噪比。通过比较结果,信噪比和相关系数分别提高了6.07dB和0.529。