A signal-based approach for assessing the accuracy of high-density surface EMG decomposition

International IEEE/EMBS Conference on Neural Engineering, NER

Volumn , Issue , 2013, Pages 585-588

  Holobar, Ales ^a   Minetto, Marco A ^b   Farina, Dario ^c  

^a UNIVERSITY OF MARIBOR   (Slovenia)

^b UNIVERSITY OF TURIN   (Italy)

^c UNIVERSITY MEDICAL CENTER GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; CONVOLUTION KERNEL COMPENSATION; DECOMPOSITION TECHNIQUE; FALSE ALARM RATE; HIGH-DENSITY SURFACE EMG; HIGHLY ACCURATE; MOTOR UNIT; SPIKE TRAIN;

ERRORS;

MUSCLE;

EID: 84897583763     PISSN: 19483546     EISSN: 19483554     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2013.6696002     Document Type: Conference Paper

References (11)

1. K. C. McGill, Z. C. Lateva, H. R. Marateb,.,EMGLAB: an interactive EMG decomposition program", J. Neurosci. Methods, vol. 149, no. 2, pp. 121-133, 2005.
2. S. H. Nawab, S. S. Chang, C. J. De Luca,.,High-yield decomposition of surface EMG signals", Clin Neurophysiol, vol. 121, no. 10, pp. 1602-1615, 2010.
3. A. Holobar, D. Farina, M. Gazzoni, R. Merletti, D. Zazula,.,Estimating motor unit discharge patterns from high-density surface electromyogram", Clin Neurophysiol, vol. 120, no. 3, pp. 551-562, 2009.
4. A. Holobar, M. A. Minetto, A. Botter, D. Farina,.,Identification of Motor Unit Discharge Patterns from High-Density Surface EMG during High Contraction Levels",in IFMBE Proceedings. vol. 37, pp. 1165-1168, 2012.
5. A. Holobar, M. A. Minetto, A. Botter, F. Negro, D. Farina,.,Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG", IEEE Trans Neural Syst Rehabil Eng, vol. 18, no. 3, pp. 221-229, 2010.
6. H. R. Marateb, K. C. McGill, A. Holobar, Z. C. Lateva, M. Mansourian, R. Merletti,.,Accuracy assessment of CKC high-density surface EMG decomposition in biceps femoris muscle", J Neural Eng, vol. 8, no. 6, pp. 066002, 2011.
7. D. Farina, R. M. Enoka,.,Surface EMG decomposition requires an appropriate validation", J. Neurophysiol., vol. 105, no. 2, pp. 981-982; author reply 983-984, 2011.
8. A. Holobar in D. Zazula,.,Multichannel Blind Source Separation Using Convolution Kernel Compensation", Signal Processing, IEEE Transactions on, vol. 55, no. 9, pp. 4487-4496, 2007.
9. D. Farina, L. Mesin, S. Martina, R. Merletti,.,A surface EMG generation model with multilayer cylindrical description of the volume conductor", IEEE Trans Biomed Eng, vol. 51, no. 3, pp. 415-426, 2004.
10. E. Henneman,.,Relation between size of neurons and their susceptibility to discharge", Science, vol. 126, pp. 1345-1347, 1957.
11. A. J. Fuglevand, D.A. Winter, A. E. Patla,.,Models of recruitment and rate coding organization in motor unit pools". J. Neurophysiol, vol. 70, pp. 2470-2488, 1993.