Arm EMG during abduction and adduction: Hysteresis cycle

Medical Engineering and Physics

Volumn 25, Issue 4, 2003, Pages 317-320

  Politti, J C ^a   Felice, C J ^a   Valentinuzzi, M E ^a  

^a UNIVERSIDAD NACIONAL DE TUCUMÁN   (Argentina)

Author keywords

Codman paradox; Deltoid muscle; Electromyography

Indexed keywords

HYSTERESIS; JOINTS (ANATOMY); MUSCLE;

DELTOID MEDIUM;

ELECTROMYOGRAPHY;

ADULT; AGED; ARM MOVEMENT; ARM MUSCLE; ARTICLE; BIOMECHANICS; CONTROLLED STUDY; DELTOID MUSCLE; DYNAMIC EXERCISE; ELECTROMYOGRAM; FEMALE; HUMAN; HUMAN EXPERIMENT; HYSTERESIS; MALE; MUSCLE CONTRACTION; NORMAL HUMAN; PHENOMENOLOGY; POSITION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SHOULDER; STATIC EXERCISE; STATISTICAL SIGNIFICANCE; STUDENT T TEST; WAVEFORM;

EID: 0037400879     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4533(02)00218-7     Document Type: Article

References (18)

1. Kaiser E., Petersen I. Adaptive filter for EMG control signals. The control of upper-extremity prostheses and orthoses. 1974;54-57 Thomas, Springfield, IL.
2. Hermens H., Boom K., Zilvold G. The clinical use of surface EMG. J Electromyog Clin Neurophys. 24:1984;243-265.
3. Spinelli E., Felice C.J., Mayosky M., Politti J.C., Valentinuzzi M.E. A correlation technique for muscular action potential velocity measurements. Med & Biol Eng & Comput. Sept:2001.
4. Popovic D., Stein R.B., Oguztöreli M.N., Lebiedowska M., Jonic S. Optimal control of walking with functional electrical stimulation: a computer simulation study. IEEE Trans Rehabilitation Engineering. 7:(1):1999;69-79.
5. Strange K.D., Hoffer J.A. Gait phase information provided by sensory nerve activity during walking: applicability as state controller feedback for FES. IEEE BME. 46:(7):1999;797-809.
6. Taha Z., Brown R., Wrigth D. Realistic animation of human figures using artificial neural networks. Med. Eng. Phys. 18:(8):1996;662-669.
7. Jonic S., Jancovic T., Gajic V., Popovic D. Three machine learning techniques for automatic determination of rules to control locomotion. IEEE BME. 46:(3):1999;300-310.
8. Tal'nov A.N., Cherkassky V.L., Kostyukov A.I. Movement-related and steady-state electromyographic activity of human elbow flexors in slow transition movements between two equilibrium states. Neuroscience. 79:(3):1997;923-933.
9. Kostyukov A.I. Muscle hysteresis and movement control: A theoretical study. Neuroscience. 83:(1):1998;303-320.
10. McGregor L. Rotation at the shoulder a critical inquiry. British J Surgery. 24:1937;425-438.
11. Johnston T.B. The movements of the shoulder joint: a plea for use of the plane of the scapula as the plane of reference for movements occurring at humeroscapular joint. British J Surgery. 25:1937;252-260.
12. Bronzino J.D. The biomedical engineering handbook. 1995;Cap VI. p. 808.
13. Challis R., Kitney R. Biomedical signal processing: Part 1. Med & Biol Eng & Comput. 28:1990;509-524.
14. Merletti R., Conte L.R. Advances in processing of surface myoelectric signal: Parts 1 & 2. Med & Biol Eng & Comput. 33:1995;362-384.
15. Herzog W., Guimaraes A.C.S., Zhang Y.T. Measuring techniques: EMG. Nigg B.M., Herzog W. Biomechanics of the musculo-skeletal system. 1995;576 John Wiley & Sons, New York.
16. Warwick Unknown, Williams Unknown. Myology, Gray's Anatomy. 35th British ed. 1973;W.B. Saunders Company. p. 1471.
17. Perkel D., Gerstein G. Neural spike trains and stochastic point processes. Biophysical J. 7:1967;391-418.
18. Clancy E.A., Hogan N. Influence of joint angle on the calibration and the performance of EMG amplitude estimators. IEEE Trans Biomed Eng. 45:(5):1998;664-668.