Abstract
The concept of the bioprosthesis control system implementation in the dedicated hardware is presented. The complete control algorithm was analysed and the decomposition revealing the parts which could be calculated concurrently was made. Specialized digital circuits providing the wavelet transform and the neural network calculations were designed and successfully verified. The experiment results show that the proposed solution provides the desired dexterity and agility of the artificial hand.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
De Luca, C.J.: The use of Surface Electromyography in Biomechanics. Journal of Applied Biomechanics 13(2) (May 1997)
Hudgins, B., Parker, P., Scott, R.N.: A New Strategy for Multifunction Myoelectric Control. IEEE BME 40(1), 82–94 (1993)
Kohonen, T.K.: Self-Organizing Maps. Springer, Berlin (1995)
Krysztoforski, K., Wolczowski, A., Bedzinski, R., Helt, K.: Recognition of Palm Finger Movements on the Basis of EMG Signals with Application of Wavelets. TASK Quarterly 8(2), 269–280 (2004)
Krysztoforski, K., Wolczowski, A.: Laboratory Test-Bed for EMG Signal Measurement (in Polish), Postepy Robotyki, WKiL, Warszawa (2004)
Kurzynski, M.: Pattern Recognition. Statistical Methods, (in Polish), Oficyna Wydawnicza PWr, Wroclaw (1997)
Light, C.M., Chappell, P.H., Hudgins, B., Englehart, K.: Intelligent multifunction myoelectric control of hand prostheses. Journal of Medical Engineering & Technology 26(4), 139–146 (2002)
Mallat, S.: A wavelet tour of signal processing. Academic Press, San Diego (1998)
Nishikawa, D.: Studies on Electromyogram to Motion Classifier, Ph.D. dissertation, Graduate school of engineering, Hokkaido University, Sapporo (2001)
Stratix II Device Handbook. Altera Corporation, San Jose (2005)
Szecówka, P.M., Charytoniuk, A., Najbert, R.: Automated implementation of feedforward neural network in digital integrated circuit. In: Proc. 10th MIXDES, Lodz, pp. 164–167 (2003)
Wolczowski, A.: Smart Hand: The Concept of Sensor based Control. In: Proc. of 7th IEEE Int. Symposium on Methods and Models in Automation and Robotics, Miedzyzdroje (2001)
Wolczowski, A., Krysztoforski, K., Bedzinski, R.: Control issues of Myoelectric Hand. In: XII National Biocybernetic and Biomedical Eng. Conference, Warszawa, pp. 419–423 (2001)
www.ottobock.us.com Patient information about Sensor Hand
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wolczowski, A.R., Szecówka, P.M., Krysztoforski, K., Kowalski, M. (2005). Hardware Approach to the Artificial Hand Control Algorithm Realization. In: Oliveira, J.L., Maojo, V., Martín-Sánchez, F., Pereira, A.S. (eds) Biological and Medical Data Analysis. ISBMDA 2005. Lecture Notes in Computer Science(), vol 3745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573067_16
Download citation
DOI: https://doi.org/10.1007/11573067_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29674-4
Online ISBN: 978-3-540-31658-9
eBook Packages: Computer ScienceComputer Science (R0)