听觉诱发电位提取技术进展
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摘要
听觉诱发电位所包含的时域和频域信息对于客观评价人体听觉功能和诊断神经系统疾病等方面都具有重要意义。本文综述了听觉诱发电位的信号处理技术新进展,包括时变滤波叠加、自适应滤波、小波变换、人工神经网络、独立分量分析、希尔伯特-黄变换6种处理方法。这些方法都致力于减少刺激次数,更高质量地提取听觉诱发电位信号。
Information of the time and frequency domain contained in the auditory system is important for the evaluation of human auditory function and the diagnosis of nervous system diseases.In this paper,some new advances in signal processing techniques depending on auditory evoked potential are reviewd,which include time-vaiying filter overlying,self-adaptive filtering,wavelet transform,artificial neural networks,independent component analysis,and Hilbert-Huang transform.These methods are committed to carrying out less stimulation,and extracting auditory evoked potential signal in higher quality.
Information of the time and frequency domain contained in the auditory system is important for the evaluation of human auditory function and the diagnosis of nervous system diseases.In this paper,some new advances in signal processing techniques depending on auditory evoked potential are reviewd,which include time-vaiying filter overlying,self-adaptive filtering,wavelet transform,artificial neural networks,independent component analysis,and Hilbert-Huang transform.These methods are committed to carrying out less stimulation,and extracting auditory evoked potential signal in higher quality.
引文
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[20]邹凌,陈树越,孙玉强,等.小波分析和独立分量分析结合的诱发电位信号提取研究[J].生物医学工程学杂志.2010,27 (4):741-745. Zou Ling,Chen Shuyue,Sun Yuqiang.et al.Extraction of evoked related potentials by using the combination of independent component analysis and wavelet analysis[J].Journal of Biomedical Engineering,2010,27(4):741-745.
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[23]洪波,唐庆玉,杨福生,等.ICA在视觉诱发电位的少次提取与波形分析中的应用[J].中国生物医学工程学报,2000,19 (3):334. Hong Bo,Tang Qingyu,Yang Fusheng,et al.ICA in the singletrial estimation and analysis of VEP[J].Chinese Journal of Biomedical Engineering,2000,19(3):334.
[24]张爱桃,李彬,王涛.基于希尔伯特一黄变换的AEP去噪方法[J].计算机工程,2011,37(19):163—165. Zhang Aitao,Li Bin,Wang Tao.AEP noise removal method based on Hilbert-Huang transform[J].Computer Engineering,2011,37 (19):163-165.
[25]Huang NE,Zheng S,Long SR,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proceedings of the Royal Society of London,Series A,1998,454:903-995.
[26]高峰,姜耀东.希尔伯特一黄变换在微震信号分析中的应用[J].科技与企业。2012,(3):86.
[27]王涛,张爱桃,李彬,等.希尔伯特-黄变换增强高刺激率AEP的信噪比[J].数据采集与处理,2011,26(3):280—285. Wang Tao,Zhang Aitao,Li Bin,et al.Improved signal-to-noise ratio of AEP based on HHT[J].Journal of Data Acquisition & Processing,2011,26(3):280-285.
[2]杨军,吴宝明,彭承琳.听觉诱发电位信号分析技术进展[J].生物医学工程学杂志,2003,20(3):563—566. Yang Jun,Wu Baoming,Peng Chenglin.Advance in signal analysis of auditory evoked potential[J].Journal of Biomedical Engineering,2003,20(3):563-566.
[3]潘映福.临床诱发电位学[M].北京:人民卫生出版社,2000.
[4]田心,陶华英,宋毅军,等.婴儿痉挛症脑干信息传导障碍的混沌学研究[J].生物物理学报,2001,17(1):91-97. Tian Xin,Tao Huaying,Song Yijun,et al.Chaotic characteristic of brainstem information conductive obstruction in infantile spasms[J].Acta Biophysica Sinica,2001,17(1);91—97.
[5]李满棠,罗成宏.CT血管造影和脑干听觉诱发电位联合应用对后循环缺血的诊断价值[J].中国当代医药,2011,18 (24):112—113.
[6]于黎明,邵殿华,李兴启,姜泗长.听觉诱发电位的时变滤波叠加[J].中华耳科杂志,2003,1(2):76—78. Yu Liming,Shao Dianhua,Li Xingqi,et al.Time-varying filtering average of auditory evoked potential[J].Chinese Journal of Otology,2003,1(2):76-78.
[7]张明友,吕明.近代信号处理理论与方法[M].北京:国防工业岀版社,2005:1-23.
[8]Bernard Widrow Thinking About Thinking:The Discovery of the LMS Algorithm IEEE Signal Processing Magazine[J].January 2005:100-104.
[9]王秀红.自适应滤波算法研究与改进[D].济南:山东大学, 2006.
[10]Hecox K,Tompkins WJ.Adaptive analysis of auditory evoked potentials with pseudorandom noise excitation[J].IEEE, 1979.26(8):479.
[11]Cichocki A,Vorobyov SA.Applicationof ICAforautomatic noiseand interference cancellation in multisensory biomedical signal.proc2 Int Workshop ICA and BSS:ICA-2000[C].Finland:Helsinki, 2000:63-68.
[12]孙兵.自适应滤波技术在水声信号处理器中的应用[J].桂林工学院学报,2008,28(4):565—567. Sun Bing.Application of adaptive filtering technology in underwater acoustic signal processor[J].Journal of Cuilin University of Technology,2008,28(4):565-567.
[13]孙迎.听觉诱发电位提取方法的研究与分析[J].中国生物医学工程学报,2006,25(1):117—120. Sun Ying.Study on the extraction and analysis of auditory evoked potential by wavelet transformation[J].Chinese Journal of Biomedical Engineering,2006,25(1 ):117-120.
[14]丁海艳,叶大田.用独立分量分析和小波变换提取听觉诱发电位晚成分的强度变化[J].生物物理学报,2005,21(2): 139—144. The amplitude variation of audetory late response tracked by independent component analysis and wavelet transform[J].Acta Biophysica Sinica,2005,21(2):139-144.
[15]杨军,彭承琳,吴宝明.小波分析在医学中的应用[J].国外医学生物医学工程分册,2002,25(2):89—92. Yang Jun,Peng Chenglin,Wu Baoming.Applications of wavelet analysis in biomedicine[J].International Journal of Biomedical Engineering,2002,25(2):89-92.
[16]张继武,郑崇勋,耿中行.用奇异性检测技术提取诱发电位[J].中国生物医学工程学报,1999,18(3):295—302. Zhang Jiwu,Zheng Chongxun,Geng Zhongx ing.Extraction of evoked potential with singularity detection technology[J]. Chinese Journal of Biomedical Engineering,1999,18(3):295 - 302.
[17]曹显庆.人工神经网络技术在医学研究中的应用[J].现代临床医学生物工程学杂志,2003,9(1):57—60. Cao Xianqing.Artificial neural networks technology applications for medicine research[J].Chinese Journal of Biomedical Engineering,2003,9(1):57-60.
[18]Comon P.Independent component analysis,a new concept[J]. Signal Processing,1994,36:287-314.
[19]王刚,胡德文.独立分量分析对相关信号源的盲辨识性能分析[J].计算机工程与应用,2005,41(4):23—26. Wang Gang,Hu Dewen.Blind identification ability of independent component analysis when sources are correlated[J]. Computer Engineering and Applications,2005,41(4):23-26.
[20]邹凌,陈树越,孙玉强,等.小波分析和独立分量分析结合的诱发电位信号提取研究[J].生物医学工程学杂志.2010,27 (4):741-745. Zou Ling,Chen Shuyue,Sun Yuqiang.et al.Extraction of evoked related potentials by using the combination of independent component analysis and wavelet analysis[J].Journal of Biomedical Engineering,2010,27(4):741-745.
[21]陈华富.独立成分分析及其应用的研究进展[J].生物医学工程学杂志,2003,20(2):366—370. Chen Huafu.Advances in independent component analysis and its application[J].Journal of Biomedical Engineering,2003,20 (2):366-370.
[22]陈华富,尧德中,周可,等.一种基于独立成分分析的功能磁共振数据处理方法[J].生物医学工程学杂志,2002,19(1): 64. Chen Huafu,Yao Dezhong,Zhou Ke,et al.A method based on independent component analysis for processing fMRI data[J]. Journal of Biomedical Engineering,2002,19(1 ):64.
[23]洪波,唐庆玉,杨福生,等.ICA在视觉诱发电位的少次提取与波形分析中的应用[J].中国生物医学工程学报,2000,19 (3):334. Hong Bo,Tang Qingyu,Yang Fusheng,et al.ICA in the singletrial estimation and analysis of VEP[J].Chinese Journal of Biomedical Engineering,2000,19(3):334.
[24]张爱桃,李彬,王涛.基于希尔伯特一黄变换的AEP去噪方法[J].计算机工程,2011,37(19):163—165. Zhang Aitao,Li Bin,Wang Tao.AEP noise removal method based on Hilbert-Huang transform[J].Computer Engineering,2011,37 (19):163-165.
[25]Huang NE,Zheng S,Long SR,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J].Proceedings of the Royal Society of London,Series A,1998,454:903-995.
[26]高峰,姜耀东.希尔伯特一黄变换在微震信号分析中的应用[J].科技与企业。2012,(3):86.
[27]王涛,张爱桃,李彬,等.希尔伯特-黄变换增强高刺激率AEP的信噪比[J].数据采集与处理,2011,26(3):280—285. Wang Tao,Zhang Aitao,Li Bin,et al.Improved signal-to-noise ratio of AEP based on HHT[J].Journal of Data Acquisition & Processing,2011,26(3):280-285.