DocumentCode :
3637918
Title :
Artificial hand control by myoelectric signals — reduced DFT approach
Author :
Przemysław M. Szecówka;Anna Spyra;Jadwiga Pçdzińska-Rzany;Andrzej R. Wołczowski
Author_Institution :
Faculty of Microsystem Electronics and Photonics, Wrocł
fYear :
2010
Firstpage :
170
Lastpage :
173
Abstract :
Smart hand prosthesis control, based on myoelectric signals, strongly depends on signal processing algorithms. This kind of application field forces specific requirements on computational complexity (for dexterity of prosthesis), processing speed (for fast reaction) and size (for portability). The paper presents a concept of reduction of DFT information extracted from EMG signals. Signals are acquisited from 8 channels with 1 kHz sampling frequency. Specialized digital hardware is proposed, capable of parallel processing of series of signals. The design was implemented in VHDL, verified and synthesized for FPGA. In-house developed floating point arithmetic was applied. Satisfying processing speed was obtained for implementation technique that enable embedding in prosthesis.
Keywords :
"Discrete Fourier transforms","Electromyography","Hardware","Artificial neural networks","Prosthetics","Radiation detectors","Field programmable gate arrays"
Publisher :
ieee
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2010 15th International Conference on
Print_ISBN :
978-1-4244-7828-6
Type :
conf
DOI :
10.1109/MMAR.2010.5587241
Filename :
5587241
Link To Document :
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