期刊文献+

自适应信号增强在瞬态诱发耳声发射信号检测中的应用 被引量:6

Detection of transient evoked otoacoustic emissions by adaptive signal enhancement
下载PDF
导出
摘要 耳声发射是近年来耳科学领域的研究热点。它已成为临床听力筛选和诊断耳蜗病变最为有效的手段之一。耳声发射信号的信噪比和相关率是临床诊断的重要依据。文中将自适应信号增强技术引入到对瞬态诱发耳声发射信号的检测中,并提出了一个基于最小均方算法的实用的自适应信号增强器结构。通过对106例受试耳所进行的瞬态诱发耳声发射信号检测,结果表明,自适应信号增强技术与传统的相干平均技术相比有更好的增强信号和抑制噪声的性能。利用自适应信号增强可以提高瞬态诱发耳声发射信号的信噪比增速、减少检测所需叠加次数、检测用时可缩短近一半。 Otoacoustic emissions (OAEs) has been considered as an excellent objective tool in clinics for diagnosing hearing loss. The signal-to-noise ratio (SNR) and correlation coefficient of OAEs are very important for the purpose of diagnosis. An adaptive signal enhancer (ASE) based on the Least Mean Square (LMS) algorithm is presented to detect transient evoked OAEs (TEOAEs). The TEOAEs detection results from 106 ears show that ASE reaches better estimation of TEOAEs than a conventional ensemble averaging (EA) technique. With the ASE, the improvement of SNR was increased faster than that with the EA and the number of sweeps required can be markedly reduced. The detection time with ASE could be shortened by about 50% in comparison with that of EA.
出处 《声学学报》 EI CSCD 北大核心 2003年第3期248-254,共7页 Acta Acustica
基金 国家自然科学基金资助项目(39870212)
关键词 自适应信号增强 耳声发射 耳科学 听力 耳蜗病变 临床诊断 信噪比 相关率 瞬态诱发 信号检测 Adaptive filtering Adaptive systems Diagnosis Least squares approximations Signal detection Signal to noise ratio
  • 相关文献

参考文献6

  • 1谢正详.医学信号数字处理技术及应用[M].科学技术出版社,1992..
  • 2Chan F H Y, Lam F K, Poon P W F et al. Detection of brainstem auditory evoked potential by adaptive filteing.Med. Biol. Eng. Comput., 1995; 33:69--75.
  • 3Probst R, Lonsbury-Martin B L, Martin G K. A review of otoacoustic emissions. J. Acoust. Soc. Am, 1991; 89(5):2027--2067.
  • 4Thakor N V, Adaptive filtering of evoked potentials. IEEE Trans. on BME, 1987; 34(1): 6---12.
  • 5Whitehead M L, Stagner B B, Lonsbury-Martin B L et al.Measurement of otoacoustic emissions for hearing assessment. IEEE. Enq. Med. Biol, 1994: 13:210---226.
  • 6Widrow B,Stearns S D.Adaptive signal processing.Prentice-Hall,Inc.,Englewood Cliffs,N.J.07632,1985.

共引文献2

同被引文献49

  • 1杨福生,郑玲,叶大田.耳声发射及其测量[J].现代科学仪器,1996(1):36-38. 被引量:3
  • 2[2]Harrison SA,Lovely DF.Identification of noise sources in surface recording of spinal somatosensory evoked potentials[J].Med Biol Eng Comput,1995,33(3):299-305.
  • 3[3]Chan F H Y,Lam F K,Poon P W F.et al.Detection of brainstem auditory evoked potential by adaptive filtering[J].Medical & Biological Engineering & Computing,1995,33:69-75.
  • 4[5]Wei Qiu,Fung KSM,Chan FHY,et al.Hamernik adaptive filtering of evoked potentials with radial-basis-function neural network[J].Prefilter IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2002,49(3):225-232.
  • 5[6]Thakor N.Adaptive filtering of evoked potentials[J].IEEE Trans Biomed Eng,1987,34(1):6-12.
  • 6[7]Wei Qiu.Chunqi Chang,Wenqing Liu,et al.Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials[J].IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2006,53(2):226-237.
  • 7[8]Ahn BS,Park IY,Cho JH,et al.Realization of multi-adaptive filter for EOG removal and feedback output controller on DSP boards[A].The 2004 International Technical Conference on Circuits/Systems,Computers and Communications(ITC-CSCC2004)[C].Hotel Taikanso,Sendai/Matsushima,Miyagi-Pref,2004.6-8.
  • 8[9]Lama BSC,H Y,Lua W W,et al.Multi-adaptive filtering technique for surface somatosonsory evoked potentials[J].processing Medical Engineering & Physics,2005,27:257-266.
  • 9[11]Luk KD,Hu Y,Wong YW,et al.Variability of somatosensoryevoked potentials in different stages of scoliosis surgery[J].Spine,1999,17(24):1799-804.
  • 10[12]Guerit JM.Neuromonitoring in the operating room:why,when,and how to monitor?[J].Electroencephalogr Clin Neurophysiol,1998,106(1):1-21.

引证文献6

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部