Feature extraction through wavelet de-noising of surface EMG signals for the purpose of mouse click emulation

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2006, Pages 1454-1457

  Prinz, R ^a   Zeman, P M ^a   Neville, S ^a   Livingston, N J ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Assistive technology; Electromyography (EMG); Single switch input device; Wavelet de noising

Indexed keywords

BIOMETRICS; ELECTROMYOGRAPHY; MICROSENSORS; NOISE ABATEMENT; SIGNAL NOISE MEASUREMENT; WAVELET ANALYSIS;

ASSISTIVE TECHNOLOGY; SINGLE SWITCH INPUT DEVICES; USER FATIGUE; WAVELET DE-NOISING;

FEATURE EXTRACTION;

EID: 39049105218     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2006.277608     Document Type: Conference Paper

References (6)

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2. Delsys, EMGworks Signal Acquisition and Analysis Software User Manual. P.O. Box 15743 Boston, MA: Delsys, 2000.
3. th ed. Spain: Elseivier Ltd, 2002.
4. Nuria Gonzales Prelicic and Sergio J. Garcia Galan, UVI-Wave, Wavelet TOOLBOX for use with MATLAB. Grupo de Teoría de la Sen̈al, Universidad de Vigo, 1996.
5. Misiti M, Misiti Y, Oppenheim G, Poggi J, Wavelet toolbox user's guide, Mathworks Inc., Natick, Massachussetts, USA, 2004.
6. D.L. Donoho, "De-noising by soft-thresholding," Paper given at Symposium on Wavelet Theory, Vanderbilt University, Nashville, Tennessee, USA, 1992.