A comparative study of wavelet denoising for multifunction myoelectric control

Proceedings - 2009 International Conference on Computer and Automation Engineering, ICCAE 2009

Volumn , Issue , 2009, Pages 21-25

  Phinyomark, Angkoon ^a   Limsakul, Chusak ^a   Phukpattaranont, Pornchai ^a  

^a PRINCE OF SONGKLA UNIVERSITY   (Thailand)

Author keywords

EMG; Myoelectric; Prosthesis; Wavelet Denoising

Indexed keywords

COMPARATIVE STUDIES; DAUBECHIES WAVELET; DE-NOISING; DE-NOISING ALGORITHM; DECOMPOSITION LEVEL; EMG; EMG SIGNAL; HARD THRESHOLDING; MEAN SQUARED ERROR; MINIMAX; MYOELECTRIC; MYOELECTRIC CONTROL; NOISE REDUCTIONS; PROSTHESIS; RESCALING METHOD; SECOND ORDERS; SOFT THRESHOLDING; SURE THRESHOLDING; THRESHOLDING; TWO CHANNEL; UPPER LIMB MOTION; WAVELET DENOISING; WAVELET DENOISING ALGORITHM; WAVELET FUNCTION; WHITE GAUSSIAN NOISE; WRIST FLEXION;

ACOUSTIC INTENSITY; ACOUSTIC NOISE MEASUREMENT; MEAN SQUARE ERROR; SIGNAL TO NOISE RATIO; WAVELET DECOMPOSITION;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

EID: 66249136321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAE.2009.57     Document Type: Conference Paper

References (11)

1. S.A. Chouakri, F. Bereksi-Reguig, S. Ahmaïdi, and O. Fokapu, "Wavelet Denoising of the Electrocardiogram Signal Based on the Corrupted Noise Estimation," IEEE Computers in Cardiology, vol. 32, pp.1021-1024, 2005. (Pubitemid 46276839)
2. P.M. Agante and J.P. Marques de Sá, "ECG Noise Filtering Using Wavelets with Soft-thresholding Methods," IEEE Computers in Cardiology, vol. 26, pp.535-538, 1999.
3. F. Nazan Uçar, M. Korürek, and E. Yazgan, "A Noise Reduction Algorithm in ECG Signals Using Wavelet Transform," Proc. IEEE 2nd Int. Biomed. Eng. Day, 1997, pp.36-38.
4. C.F. Jiang and S.L. Kuo, "A Comparative Study of Wavelet Denoising of Surface Electromyographic Signals," Proc. IEEE 29th Annu. Int. Conf. IEEE EMBS, Lyon, 2007, pp.1868-1871.
5. X. Guo, P. Yang, Y. Li, and W.L. Yan, "The SEMG Analysis For the Lower Limb Prosthesis Using Wavelet Transformation," Proc. IEEE 26th Annu. Int. Conf. IEEE EMBS, San Feancisco, CA, 2004, pp.341-344.
6. M.C.E. Rosas-Orea, M. Hernandez-Diaz, V. Alarcon-Aquino, and L.G. Guerrero-Ojeda, "A Comparative Simulation Study of Wavelet Based Denoising Algorithms," Proc. IEEE 15th Int. Conf. Electron., Commun. And Comput., 2005. (Pubitemid 43898168)
7. Z. Qingju and L. Zhizeng, "Wavelet De-Noising of Electromyography," Proc. IEEE Int. Conf. Mechatronics and Automation, Luoyang, 2006, pp.1553-1558. (Pubitemid 46604543)
8. The MathWorks, Inc. "Wavelet Toolbox User's Guide," Version 4.2, Release 2008a, March, 2008.
9. D. Donoho and I. M. Johnstone, "Ideal Spatial Adaptation by Wavelet Shrinkage," Department of Statistics, Stanford University, USA. April 1993.
10. C. Stein, "Estimation of the mean of a multivariate normal distribution," Ann. Stat., vol. 9, no. 6, pp. 1135-1151, Nov. 1981.
11. D. Donoho and I. Johnstone, "Adapting to unknown smoothness via wavelet shrinkage," Dept. Statist., Stanford Univ., Stanford, CA, Tech. Rep., Jun. 1992.