High-precision EMG signal decomposition using communication techniques

IEEE Transactions on Signal Processing

Volumn 48, Issue 9, 2000, Pages 2487-2494

  Gut, Richard ^a,b   Moschytz, George S ^a,b  

^a UNIVERSITY OF APPLIED SCIENCES AND ARTS NORTHWESTERN SWITZERLAND   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

Digital communication; Digital signal processing; Electromyography

Indexed keywords

DIGITAL COMMUNICATION SYSTEMS; DIGITAL SIGNAL PROCESSING; ELECTROMYOGRAPHY; IMAGE CODING; INTERSYMBOL INTERFERENCE; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MEDICAL IMAGING; MUSCLE;

ACTIVE SEGMENTS; MAXIMUM A POSTERIORI; MOTOR UNIT ACTION POTENTIAL;

SIGNAL FILTERING AND PREDICTION;

EID: 0034259303     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.863051     Document Type: Article

References (19)

1. J. J. Kelly, Jr., Electrotnyography for the Clinician in Clinical Medicine, J. A. Spittel Jr., Ed. Philadelphia, PA: Harper-Row, 1981.
2. J. Kimura, Electrodiagnosis in Diseases of Nerve and Muscle: Principles and Practice. Philadelphia, PA: F. A. Davis, 1983.
3. F. Buchthal, Electromyography in the evaluation of muscle diseases, Neurolog. Clinics, vol. 3, pp. 573-598, 1985.
4. R. S. LeFever, Statistical analysis of concurrently active human motor units, Ph.D. dissertation, Mass. Inst. Technol., Cambridge, Feb. 1980.
5. R. S. LeFever and C. J. De Luca, A procedure for decomposing the myoelectric signal into its constituent action potentials, IEEE Trans. Biomed. Eng., vol. BME-29, pp. 149-153; 158-164, Mar. 1982.
6. R. G. Lee and D. G. White, Computer analysis of motor unit action potentials in routine clinical electromyograpyh, in New Developments in Electromyography and Clin. Neurophysiology, J. E. Desmedt, Ed. Basel, Switzerland: Karger, 1973, pp. 454-461.
7. A. Gerber, R. M. Studer, R. J. P. de Figueiredo, and G. S. Moschytz, A new framework and computer program for quantitative EMG signal analysis, IEEE Trans. Biomed. Eng., vol. BME-31, pp. 857-863, Dec. 1984.
8. R. M. Studer, R. J. P. de Figueiredo, and G. S. Moschytz, An algorithm for sequential signal estimation and system identification for EMG signals, IEEE Trans. Biomed. Eng., vol. BME-31, pp. 285-295, Mar. 1984.
9. W. F. Haas and M. Meyer, An automatic EMG decomposition system for routine clinical examination and clinical research, in Computer-Aided Electromyography and Expert Systems. Amsterdam, The Netherlands: Elsevier, 1989.
10. M. H. Hassoun, C. Wang, and A. R. Spitzer, NNERVE: Neural network extraction of repetitive vectors for elektromyography, IEEE Trans. Biomed. Eng., vol. 41, p. 1039-1061, Nov. 1994.
11. B. Mambrito and C. De Luca, Acquisition and decomposition of the EMG signal, in Computer-Aided Electromyography, Prog, in Clin. Neurophysiology, J. E. Desmedt, Ed. Basel, Switzerland: Karger, 1983, vol. 10.
12. R. Gut, P. Kreier, and G. S. Moschytz, Trellis-based deconvolution of ultrasonic echoes, in Proc. IEEE Int. Symp. Circuits Syst., vol. 2, Seattle, WA, May 1995, pp. 1384-1387.
13. J. A. Jensen and J. Mathorne, Deconvolution of in-vivo ultrasound B-mode images, Ultrason. Imag., vol. 15, pp. 122-133, Apr. 1993.
14. M. Hufschmid, Maximum-likelihood processing of signals received over multipath channels, Ph.D. dissertation, ETH, Zürich, Switzerland, 1992.
15. R. Gut and G. S. Moschytz, High-precision EMG signal decomposition with modified Viterbi algorithm, in Proc. IEEE Int. Symp. Circuits Syst., vol. 1, Singapore, June 1991, pp. 730-733.
16. H. Späht, Cluster Analyze Algorithmen zur Objektklassifizierung und Datenreduktion. Berlin, Germany: Oldenburg, 1975.
17. J. G. Proakis, Digital Communications. Singapore: McGraw-Hill, 1983.
18. A. J. Viterbi, Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, IEEE Trans. Inform. Theory, vol. IT-13, pp. 260-269, Apr. 1967.
19. K. C. McGill and L. J. Dorfman, Automatic decomposition electromyography (ADEMG). Methodologie and technical considerations, in Computer-Aided Electromyography and Expert Systems. Amsterdam, The Netherlands: Elsevier, 1989, pp. 91-101.