Towards smart prosthetic hand: Adaptive probability based skeletan muscle fatigue model

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 1316-1319

  Kumar, Parmod ^a   Sebastian, Anish ^a   Potluri, Chandrasekhar ^a   Urfer, Alex ^b   Naidu, D Subbaram ^a   Schoen, Marco P ^a  

^a Nucl Eng Idaho State University   (United States)

^b IDAHO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE PROBABILITIES; CHEBYSHEV; DISCRETE TIME; ELECTROMYOGRAPHIC; EMG SIGNAL; FILTER OPTIMIZATION; GAUSSIAN BAYESIAN FILTER; KULLBACK INFORMATION; MODAL TRANSFORMATION; MODEL SELECTION; MOTOR UNIT; MUSCLE DYNAMICS; MUSCLE FATIGUES; MUSCLE FORCE; PROSTHETIC HANDS; SIGNAL SENSORS; SKELETAL MUSCLE; STATE-SPACE; SURFACE LOCATION; SYSTEM IDENTIFICATIONS;

OPTIMIZATION; SENSORS;

MUSCLE;

ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HAND; HUMAN; MUSCLE CONTRACTION; MUSCLE FATIGUE; PHYSIOLOGY; PROSTHESES AND ORTHOSES; PROSTHESIS; SKELETAL MUSCLE;

COMPUTER SIMULATION; HAND; HUMANS; MODELS, BIOLOGICAL; MUSCLE CONTRACTION; MUSCLE FATIGUE; MUSCLE, SKELETAL; PROSTHESES AND IMPLANTS; PROSTHESIS DESIGN;

EID: 78650848350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626388     Document Type: Conference Paper

References (13)

1. Jeffrey T. Bingham and Marco P. Schoen, "Characterization of Myoelectric Signals using System Identification Techniques," Proceedings of IMECE 2004: 2004 ASME International Mechanical Engineering Congress Anaheim, California, November 13-19, 2004.
2. Northrop, R., Analysis and application of analogue electronic circuits to biomedical instrumentation. CRC Press, Boca Raton, Florida, 2004, pp. 6-9.
3. S. C. Gandevia, "Spinal and Supraspinal Factors in Human Muscle Fatigue," Physiological Reviews, American Physiological Society, 81(4), October 2001.
4. B R Bigland-Ritchie, N J Dawson, R S Johansson and O C Lippold, "Reflex origin for the slowing of motoneurone firing rates in fatigue of human voluntary contractions," Journal of Physiology, 379, pp. 451-459, 1986.
5. Gerdle B, Edstrom M, Rahm M, "Fatigue in the shoulder muscles during static work at two different torque levels," Clinical Physiology, 13(5), pp. 469-482, 1993.
6. Merletti R, and Lo Conte LR, "Surface EMG signal processing during isometric contractions," Journal of Electromyography and Kinesiology, 7(4), pp. 241-250, 1997.
7. Finsterer J., "EMG-interference pattern analysis," J Electromyogr Kinesiol, 11, pp. 231-246, 2001.
8. B. Maton, and D. Gamet, "The fatigability of two agonistic muscles in human isometric voluntary sub maximal contraction: an EMG study. II Motor unit firing rate and recruitment," Eur. J. Appl. Physiol., 58, pp. 369-374, 1989. (Pubitemid 19050447)
9. A. Luttmann, M. Jäger, J. Sökeland, and W. Laurig, "Electromyographical study on surgeons in urology, Part II: Determination of muscular fatigue," Ergonomics, 39, pp. 298-313, 1996. (Pubitemid 26097939)
10. Terence D. Sanger, "Bayesian Filtering of Myoelectric Signals," J Neurophysiol 97, pp. 1839-1845, 2007.
11. Lennart Ljung, System Identification: Theory for the User. 2nd edition, Printice Hall PTR, 1999, Chap. 1, pp. 1-15.
12. H. Chen and S. Huang, "A Comparative study on Model Selection and Multiple Model Fusion," 7th International Conference on Information Fusion, pp. 820-826, 2005.
13. Abd-Krim Seghouane, M. Bekara, G. Fleury, "A Small Sample Model Selection Criterion Based on Kullback's symmetric Divergence," IEEE Transaction, pp. 145-148, 2003.