The Application of Neural Networks to Myoelectric Signal Analysis: A Preliminary Study

IEEE Transactions on Biomedical Engineering

Volumn 37, Issue 3, 1990, Pages 221-230

  Kelly, Michael F ^a   Parker, Philip A ^a   Scott, Robert N ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

SPECTRUM ANALYSIS; STATISTICAL METHODS--TIME SERIES ANALYSIS; SYSTEMS SCIENCE AND CYBERNETICS--NEURAL NETS;

HOPFIELD NETWORK; MYOELECTRIC SIGNAL ANALYSIS; PERCEPTRON CLASSIFIER; TIME SERIES MODELS; TWO-LAYER PERCEPTRON;

BIOMEDICAL ENGINEERING;

ARTICLE; MYOELECTRICITY; NERVOUS SYSTEM; SIGNAL DETECTION;

ALGORITHMS; AMPUTATION; ARM; ELECTROMYOGRAPHY; HUMAN; MALE; MODELS, NEUROLOGICAL; MUSCLE CONTRACTION; NERVE NET; NERVOUS SYSTEM PHYSIOLOGY;

EID: 0025405461     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.52324     Document Type: Article

References (20)

1. D. Graupe, J. Salahi, and D. Zhang, “Stochastic analysis of myoelectric temporal signatures for multifunctional single-site activation of prostheses and orthoses,” J. Biomed. Eng., vol. 7, pp. 18–29, 1985.
2. J. V. Basmajian and C. J. Deluca, Muscles Alive, Their Functions Revealed by Electromyography. Baltimore, MD: Williams & Wil-kins, 1985.
3. D. Graupe, “Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes,” IEEE Trans. Syst. Man Cybern., vol. SMC-5, pp. 252–259, Mar. 1975.
4. D. W. Tank and J. J. Hopfield, “Simple ‘neural’ optimization networks: An A/D converter, signal decision circuitry, and a linear programming circuit,” IEEE Trans. Circuits Syst., vol. CAS-33, pp. 533–541, 1986.
5. D. Graupe, “Multifunctional prosthesis and orthosis control via microcomputer identification of temporal pattern differences in single site myoelectric signals,” J. Biomed. Eng., vol. 4, pp. 17–22, 1982.
6. R. P. Lippmann, “An introduction to computing with neural nets,” IEEE ASSP Mag., pp. 4–22, Apr. 1987.
7. D. Graupe, Time Series Analysis, Identification, and Adaptive Filtering. Malabar, FL: Robert F. Krieger, 1984.
8. R. E. Gander and B. S. Hudgins, “Power spectral density of the surface myoelectric signal of the biceps brachii as a function of static load,” Electromyogr. Clin. Neurophysiol., vol. 25, pp. 469–478, 1985.
9. J. J. Hopfield and D. Tank, Biol. Cybern., vol. 52, p. 141, 1985.
10. J.J. Hopfield, “Neurons with graded response have collective computational properties like those of two state neurons,” in Proc. Natl. Acad. Sci., vol. 81, pp. 3088–3092, 1984.
11. W. Jeffrey and R. Rosner, “Optimization algorithms: Simulated annealing and neural network processing,” Astrophys. J., Amer. Astro-nom. Soc., vol. 310, pp. 473-481, Nov. 1986.
12. S. Haykin, Adaptive Filter Theory. Englewood Cliffs, nj: Prentice-Hall, 1986.
13. S. M. Peeling, R. K. Moore, and M. J. Tomlinson, “The multilayer perceptron as a tool for speech pattern processing research,” in Proc. I.O.A. Autumn Conf. Speech and Hearing, vol. 8, part 7, pp. 307–314, 1986.
14. R. P. Gorman and T. J. Sejnowski, “Analysis of hidden units in a layered network trained to classify sonar targets,” Nerual Networks, vol. 1, pp. 75–89, 1988.
15. T. Sejnowski and C. R. Rosenberg, “NETtalk: A parallel network that learns to read aloud,” Johns Hopkins Univ. Tech. Rep. JHU/ EECS-86/01, 1986.
16. D. E. Rumelhart and J. L. McClelland, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press, 1986.
17. C. Almströ m, “An electric system for a prosthetic hand with six degrees of freedom,” Rep. Research Lab. Med. Electron., Chalmers Univ. Technol., Goteborg, Sweden, 1977.
18. G. N. Saridis and T. P. Gootee, “EMG pattern analysis and classification for a prosthetic arm,” IEEE Trans. Biomed. Eng., vol. BME-29, pp. 403–412, 1982.
19. P. C. Doerschuk, D. E. Gustafson, and A. S. Willsky, “Upper extremity limb function discrimination using EMG signal analysis,” IEEE Trans. Biomed. Eng., BME-30, pp. 18–28, 1983.
20. P. Herberts, C. Almström, P. Kadefors, and P. D. Lawrence, “Hand prosthesis control via myoelectric patterns,” Acta Orthop. Scan., vol. 44, p. 389, 1973.