期刊文献+

复合自适应滤波器用于体感诱发电位信噪比的提高 被引量:1

The Improvement of Signal to Noise Ratio of Somatosensory Evoked Potential by Using Multi-adaptive Filter
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摘要 本研究以可靠、快速提取体感诱发电位为目标,试图解决相干叠加方法既费时又不能反映体感诱发电位时变特征的缺点。运用以自适应噪声减法器和自适应增强器为基础构造的复合自适应滤波器提取体感诱发电位。仿真实验表明,运用复合自适应滤波器可实现从强噪声背景中快速提取体感诱发电位,能更快地识别体感诱发电位的潜伏期及幅值,并且系统性能稳定。 To extract somatosensory evoked potential (SEP) rapidly and reliably. Conventional averaging method is very time-consuming and fail to track trial-to-trial variations both in latency and amplitude. This may also be solved in this study. By using of a multi-adaptive filtering (MAF) technique, which developed from the combination of well-developed adaptive noise canceller and adaptive signa/enhancer, SEP was extracted rapidly and reliably. The simulated results indicate that the MAF can extract the SEP from the extremely noisy background rapidly and stably.
出处 《生物医学工程研究》 2007年第3期223-227,共5页 Journal Of Biomedical Engineering Research
基金 国家人事部高层次留学人员回国资助项目 香港研究基金会基金资助项目(CERGHKU7130/06E)。
关键词 体感诱发电位 复合自适应滤波器 自适应噪声减法器 自适应增强器 信噪比 Somatosensory evoked potential (SEP) Multi-adaptive filter(MAF) Adaptive noise canceller (ANC) Adaptive signal enhancer (ASE) Signal-to-noise ratio (SNR)
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参考文献12

  • 1郝平,王义辉.诱发电位提取技术研究进展[J].医疗装备,2002,15(8):3-5. 被引量:1
  • 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叶万兴,叶大田,曹宇.自适应信号增强在瞬态诱发耳声发射信号检测中的应用[J].声学学报,2003,28(3):248-254. 被引量:6
  • 5[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.
  • 6[6]Thakor N.Adaptive filtering of evoked potentials[J].IEEE Trans Biomed Eng,1987,34(1):6-12.
  • 7[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.
  • 8[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.
  • 9[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.
  • 10[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.

二级参考文献17

  • 1张绪省,成晓雄,朱贻盛.用小波变换提取视觉诱发电位信号[J].北京生物医学工程,1996,15(1):6-9. 被引量:4
  • 2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..
  • 3Thakor N V, Adaptive filtering of evoked potentials. IEEE Trans. on BME, 1987; 34(1): 6---12.
  • 4Whitehead 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.
  • 5Widrow B,Stearns S D.Adaptive signal processing.Prentice-Hall,Inc.,Englewood Cliffs,N.J.07632,1985.
  • 6Chan 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.
  • 7Probst R, Lonsbury-Martin B L, Martin G K. A review of otoacoustic emissions. J. Acoust. Soc. Am, 1991; 89(5):2027--2067.
  • 8成晓雄.视觉电生理伪彩色地形图的信息提取与处理
  • 9Sutton S. Braren M, Zubin J, et al. Evoked potential correlates of stimulus uncertainty. Science, 1965,150:1187
  • 10吴保明.诱发电位提取技术的发展概况[J].创伤外科杂志,2001,1(36).

共引文献5

同被引文献12

  • 1Nuwer M R. Spinal cord monitoring with somatosensory techniques [J]. J Clin Neurophysiol, 1998, 15(3): 183-193.
  • 2Guerit JM. Neuromonitoring in the operating room: why, when, and how to monitor? [J]. Electroencephalogr Clin Neurophysiol, 1998, 106(1): 1-21.
  • 3Harrison 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.
  • 4Thakor NV, Zhu Yi-sheng. Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection[J]. IEEE Trans Biomed Eng, 1991, 38(8): 785-794.
  • 5Chan FH, Lam FK, Poon PW, et al. Detection of brainstem auditory evoked potential by adaptive filtering[J]. Med Biol Eng Comput, 1995, 33(1): 69-75.
  • 6Parsa V, Parker PA. Multireference adaptive noise cancellation applied to somatosensory evoked potentials[J]. IEEE Trans Biomed Eng, 1994, 41(8): 792-800.
  • 7Lam BS, Hu Yong, Lu WW, et al. Muhi-adaptive filtering technique for surface somatosensory evoked potentials processing[J]. Med Eng Phys, 2005, 27(3): 257-266.
  • 8Fung KS, Chan FH, Lam FK, et al. A tracing evoked potential estimator[J]. Med Biol Eng Comput, 1999, 37(2): 218-227.
  • 9Qiu Wei, Fung KS, Chan FH, et al. Adaptive filtering of evoked potentials with radial-basis-function neural network prefiher[J]. IEEE Trans Biomed Eng, 2002, 49(3): 225-232.
  • 10Qiu Wei, Chang Chun-qi, Liu Wen-qing, et al. Real-time datareusing adaptive learning of a radial basis function network for tracking evoked potentials[J]. IEEE Trans Biomed Eng, 2006, 53(2): 226-237.

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