Separation of propagating and non propagating components in surface EMG

Biomedical Signal Processing and Control

Volumn 3, Issue 2, 2008, Pages 126-137

  Mesin, Luca ^a   Reddy Kandoor, Arun Kumar ^b   Merletti, Roberto ^a  

^a POLITECNICO DI TORINO   (Italy)

^b INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

Adaptive filters; Conduction velocity; Linear electrode arrays; Surface EMG

Indexed keywords

ADAPTIVE FILTERS; ELECTRODES; FUNCTIONAL ELECTRIC STIMULATION; MUSCLE;

CONDUCTION VELOCITY; ELECTROMYOGRAM; LINEAR ELECTRODE ARRAYS; SIMULATED SIGNALS;

ELECTROMYOGRAPHY;

ARTICLE; ARTIFACT; BICEPS BRACHII MUSCLE; CONTROLLED STUDY; ELECTROMYOGRAPHY; EXPERIMENTAL DESIGN; HAND MUSCLE; MOTOR UNIT; MOTOR UNIT POTENTIAL; MUSCLE FIBER MEMBRANE CONDUCTANCE; PRIORITY JOURNAL; PROCESS MODEL; PROCESS OPTIMIZATION; SIGNAL DETECTION; SIGNAL PROCESSING; TRANSCUTANEOUS NERVE STIMULATION;

EID: 41149141519     PISSN: 17468094     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bspc.2007.11.002     Document Type: Article

References (20)

1. Broman H., Bilotto G., and De Luca C. A note on non invasive estimation of muscle fiber conduction velocity. IEEE Trans. Biomed. Eng. 32 (1985) 341-343
2. Dimitrova N.A., Dimitrov G.V., and Lateva Z.C. Influence of the fiber length on the power spectra of single muscle fiber extracellular potentials. Electromyogr. Clin. Neurophysiol. 31 6 (1991) 387-398
3. Farina D., and Merletti R. Methods for estimating muscle fiber conduction velocity from surface electromyographic signals. Med. Biol. Eng. Comput. 42 3 (2004) 432-445
4. Mesin L., Joubert M., Hanekom T., Merletti R., and Farina D. A finite element model for describing the effect of muscle shortening on surface EMG. IEEE Trans. Biomed. Eng. 53 4 (2006) 593-600
5. Schulte E., Farina D., Merletti R., Rau G., and Disselhorst-Klug C. Influence of muscle fibre shortening on estimates of conduction velocity and spectral frequencies from surface electromyographic signals. Med. Biol. Eng. Comput. 42 3 (2004) 477-486
6. Arendt-Nielsen L., and Zwarts M. Measurement of muscle fiber conduction velocity in humans: techniques and applications. J. Clin. Neurophysiol. 6 (1989) 173-190
7. Farina D., and Merletti R. A novel approach for precise simulation of the EMG signal detected by surface electrodes. IEEE Trans. Biomed. Eng. 48 (2001) 637-646
8. Cheng Z., and Tjhung T.T. A new time delay estimator based on ETDE. IEEE Trans. Signal Process. 51 (2003) 1859-1869
9. Farina D., Mesin L., Martina S., and Merletti R. Comparison of spatial filter selectivity in surface myoelectric signal detection: influence of the volume conductor model. Med. Biol. Eng. Comput. 42 1 (2004) 114-120
10. Schulte E., Farina D., Rau G., Merletti R., and Disselhorst-Klug C. Single motor unit analysis from spatially filtered surface electromyogram signals. Part 2: conduction velocity estimation. Med. Biol. Eng. Comput. 41 3 (2003) 338-345
11. Farina D., and Merletti R. A novel approach for estimating muscle fiber conduction velocity by spatial and temporal filtering of surface EMG signals. IEEE Trans. Biomed. Eng. 50 (2003) 1340-1351
12. Mesin L., Tizzani F., and Farina D. Estimation of muscle fiber conduction velocity from surface EMG recordings by optimal spatial filtering. IEEE Trans. Biomed. Eng. 53 (2006) 1963-1971
13. Rubio Vela J., Merletti R., and Fan Y. Separation of travelling from non-travelling components in surface myoelectric signals. Proceedings of the VI Mediterranean Conference on Medical and Biological Engineering, vol. I. Capri, Italy, July 5-10 (1992)
14. Mandrile F., Farina D., Pozzo M., and Merletti R. Stimulation artifact in surface EMG signal: effect of the stimulation waveform, detection system, and current amplitude using hybrid stimulation technique. IEEE Trans. Neural Syst. Rehabil. Eng. 11 3 (2003) 407-415
15. F. Mandrile, F. Assumma, D. Farina, K. Englehart, P.A. Parker, R. Merletti, A Novel Adaptive Filtering Approach for Removing Stimulation Artifact from M-waves, Proceedings of the XV Congress of the International Society of Electrophysiology and Kinesiology, Boston, MA, June 18-21, 2004, ISBN 0-87270-136-0, p. 77.
16. J. Rubio Vela, Characterization and separation of propagating and stationary myoeletric signals, Master Thesis, Boston University, 1990.
17. Tu Y.X., Wernsdorfer A., Honda S., and Tomita Y. Estimation of conduction velocity distribution by regularized-least-squares method. IEEE Trans. Biomed. Eng. 44 11 (1997) 1102-1106
18. Farina D., Mesin L., and Martina S. A Surface EMG generation model with multylayer cylindrical description of the volume conductor. IEEE Trans. Biomed. Eng. 51 3 (2004) 415-426
19. Gazzoni M., Farina D., and Merletti R. A new method for the extraction and classification of single motor unit action potentials from surface EMG signals. J. Neurosci. Methods 136 (2004) 165-177
20. Disselhorst-Klug C., Rau G., Schmeer A., and Silny J. Non-invasive detection of the single motor unit action potential by averaging the spatial potential distribution triggered on a spatially filtered motor unit action potential. J. Electromyogr. Kinesiol. 9 (1999) 67-72