Classification of Action Potentials in MultiUnit Intrafascicular Recordings Using Neural Network Pattern-Recognition Techniques

IEEE Transactions on Biomedical Engineering

Volumn 41, Issue 1, 1994, Pages 89-91

  Mirfakhraei, Khashayar ^a   Horch, Kenneth ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRODES; IMPLANTS (SURGICAL); NEURAL NETWORKS; PATTERN RECOGNITION;

ACTION POTENTIALS; CATS; INTRAFASCICULAR ELECTRODES; MULTI-UNIT NEURAL RECORDINGS; NEURAL ACTIVITY CLASSIFICATION;

BIOELECTRIC POTENTIALS;

ANIMAL EXPERIMENT; ARTICLE; CAT; COMPUTER MODEL; NERVE POTENTIAL; NONHUMAN; PATTERN RECOGNITION; SINGLE UNIT ACTIVITY;

ACTION POTENTIALS; ANIMAL; CATS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0028350377     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/10.277276     Document Type: Article

References (15)

1. T. Lefurge, E. Goodall, K. Horch, L. Stensaas, and A. Schoenberg, “Chronically implanted intrafascicular recording electrodes,” Ann. Biomed. Eng., vol. 19, pp. 197–207, 1991.
2. E.V. Goodall, T. M. Lefurge, and K. W. Horch, “Information contained in sensory nerve recordings made with intrafascicular electrodes,” IEEE Trans. Biomed. Eng., vol. 38, pp. 846–850, 1991.
3. J.A. Hoffer and T. Sinkjaer, “A natural ‘force sensor’ suitable for closed-loop control of functional neuromuscular stimulation,” in Proc. 2nd Vienna International Workshop on Functional Electrostimulation, vol. 1986, pp. 47–50.
4. E.V. Goodall and K. W. Horch, “Separation of action potentials in multi-unit intrafascicular recordings,” IEEE Trans. Biomed. Eng., vol. 39, pp. 289–295, 1992.
5. E.V. Goodall, K. W. Horch, T. G. McNaughton, and C. M. Lybbert, “Analysis of single-unit firing patterns in multi-unit intrafascicular recordings,” Med. & Biol. Eng. & Comput., vol. 31, pp. 257–267, 1993
6. G.A. Carpenter, “Neural network models for pattern recognition and associative memory,” Neural Networks, vol. 2, pp. 243–257, 1989.
7. J.S. Denker, W. R. Gardner, H. P. Graf, D. Henderson, R. E. Howard, W. Hubbard, L. D. Jackel, H. S. Baird, and I. Guyon, “Neural network recognizer for hand-written ZIP code digits,” in Advances Neural Info. Process. Sys. I, Touretzky, San Mateo, CA: Kaufmann, 1989, pp. 323–331.
8. R.P. Lippmann, “An introduction to computing with neural nets,” IEEE ASSP Magazine, vol. 4, pp. 4–22, 1987.
9. D.A. Mighell, T. S. Wilkinson, and J. W. Goodman, “Back propagation and its application to handwritten signature verification,” in Advances Neural Info. Process. Sys. I, Touretzky, Ed. San Mateo, CA: Kaufmann, 1989, pp. 340–347.
10. I.N. Bankman, K. O. Johnson, and W. Schneider, “Optimal recognition of neural waveforms,” in Proc. 13th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 1, Orlando, FL; 1991, pp. 409–410.
11. R.O. Duda and P. E. Hart, Pattern classification and scene analysis, first ed. New York: John Wiley & Sons, 1973.
12. W.Y. Huang and R. P. Lippmann, “Comparisons between neural net and conventional classifiers,” in IEEE First Intern. Conf. Neural Net., vol. 4, San Diego, CA: 1987, pp. 485-493.
13. R.P. Lippmann, “Pattern classification using neural networks,” IEEE Comm. Mag., vol. 27, pp. 47–50, 59–64, 1989.
14. D.E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing, Rumelhart and McClelland, Cambridge, MA: MIT Press, 1986, pp. 318–362.
15. M. Malagodi, K. W. Horch, and A. A. Schoenberg, “An intrafascicular electrode for recording of action potentials in peripheral nerves,” Ann. Biomed. Eng., vol. 17, pp. 397–10, 1989.