期刊文献+

OGWE算法及其在表面肌电信号中的应用 被引量:1

The algorithm of OGWE and its application on surface electromyography
原文传递
导出
摘要 为消除多通道表面肌电信号采集时相互间的耦合串扰,提出一种新的处理方法.在权重估计的基础上,以待分离信号采样点数及维数总的最小计算复杂度作为优化因子.将小波变换和优化后的广义权重估计(OGWE)算法结合,利用小波分析降低观测信号中噪声的影响后作为独立分量分析(ICA)输入信号.从量能值、相关系数等多方面对优化算法与FastICA算法进行了对比,结果表明该方法能有效消除多通道表面肌电信号的耦合串扰. 为消除多通道表面肌电信号采集时相互间的耦合串扰,提出一种新的处理方法.在权重估计的基础上,以待分离信号采样点数及维数总的最小计算复杂度作为优化因子.将小波变换和优化后的广义权重估计(OGWE)算法结合,利用小波分析降低观测信号中噪声的影响后作为独立分量分析(ICA)输入信号.从量能值、相关系数等多方面对优化算法与FastICA算法进行了对比,结果表明该方法能有效消除多通道表面肌电信号的耦合串扰.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第S2期411-413,共3页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60874102)
关键词 表面肌电信号 串扰 小波变换 噪声 广义权重估计 独立分量分析 SEMG cross-talk wavelet transform noise generalized weighted estimators(GWE) ICA
  • 相关文献

参考文献7

  • 1Qiang Li,Ji-hai Yang,Xiang Chen,et al.The de-composition of surface EMG signals based on blindsource separation of convolved mixtures. 27thAnnual ConferenceEngineering in Medi-cine and Biology Society . 2006
  • 2Naik G R,Kumar D K,Palaniswami M.Source iden-tification and separation using sub-band ICA ofsEMG. TENCON 2008-2008IEEE Region 10Conference . 2008
  • 3Naik G R,Kumar D K,Palaniswami M.Classifica-tion of low level surface electromyogram using inde-pendent component analysis. IET Signal Process-ing . 2010
  • 4Naik G R,Kumar D K,Palaniswami M.Addressingsource separation and identification issues in surfaceEMG using blind source separation. 30th Annual International IEEE EMBS Conference . 2008
  • 5Murillo-Fuentes J J,Rafael Boloix-Tortosa FranciscoJ.Initialized Jacobi optimization in indepemdent com-ponent analysis. 4th International Symposium onIndependent Component Analysis and Blind SignalSeparation . 2003
  • 6Naik G R,Kumar D K,Weghorn H.Performancecomparison of ICA algorithms for isometric hand ges-ture identification using surface EMG. 3rd Inter-national Conference on Intelligent Sensors,Mel-bourne,Sensor Networks and Information . 2007
  • 7Li Wenguo,Luo Zhizeng.Wavelet Transform and Independent Component Analysis Application to Multi-channel SEMG Processing. International Conference on Information and Automation . 2008

同被引文献15

  • 1谢志勇,许世雄,李信安,杨菊华,陈守吉,严隽陶,周信文,赵毅,徐俊,徐持平.关于中医推拿手法摆动类法施力的频域分析[J].医用生物力学,1996,11(4):208-211. 被引量:25
  • 2曹仁发.中医推拿学[M].2版.北京:人民卫生出版社,2006:79.
  • 3赵毅,孙鹏,安光辉.推拿手法量化是推拿学科发展的必由之路[c].中华中医药学会推拿分会第九届推拿学术年会论文集,2006:45-49.
  • 4ANTONY J PORCINO. Meaning and Challenges in the Practice of Multiple Therapeutic Massage Modalities: a Combined Methods Study [J]. BMC Complementary and Alter-Native Medicine, 2011 (11 ) : 75.
  • 5DRACKLEY N, BAUER B. The Effect of Massage Therapy for Breast Surgery Patients [ J ]. BMC Complementary and Ahernative Medicine, 2012, 12( 1 ) : 62.
  • 6REAZ M B I, HUSSAIN M S, MOHD-YASIN F. Techniques of EMG Signal Analysis : Detection, Processing, Classification and Applications [ J ]. Biological Procedures Online, 2006, 8 ( 1 ) : 11-35.
  • 7SHWEDYK E. A Nonstationary Model for the Electromyogram [J]. IEEE Trans Biomed Eng, 1977, 24(5) : 417-424.
  • 8ONG Ya-juan, WANG Li-rong, FENG Ping, et al. The Evaluation of Massage Skill of One-Finger Zen Based on Pressure Distribution Data [ C ]///2012 Fifth International Conference on Intelligent Networks and Intelligent Systems (ICINS 2012). Tianjin, China: Is. n. ], 2012: 314-317.
  • 9蔚二文,陈维毅.表面肌电图在肌肉功能评估中的应用[J].大众科技,2007,9(7):120-122. 被引量:32
  • 10吕杰,曹金凤,方磊,马龙龙,章丹颂,方舟,许世雄,房敏.基于小波变换的中医推拿法作用力信号能量分析[J].医用生物力学,2010,25(6):439-443. 被引量:12

引证文献1

二级引证文献3

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