Advertisement
Published in:
2009 | OriginalPaper | Chapter
Hardware Approach to Artificial Hand Control Based on Selected DFT Points of Myopotential Signals
Authors : Przemyslaw M. Szecówka, Jadwiga Pedzińska-Rżany, Andrzej R. Wolczowski
Published in: Computer Aided Systems Theory - EUROCAST 2009
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Technology of smart hand prosthesis control based on myoelectric signals strongly depends on signal processing algorithms. The application forces specific requirements on computational complexity (for dexterity of prosthesis), processing speed (for fast reaction) and size (for portability). The paper refers to a concept of selected DFT points of EMG signal analysis for patient intention recognition. Signals are acquisited from 6 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 at a reasonable cost.