An ensemble analysis of electromyographic activity during whole body pointing with the use of support vector machines

PLoS ONE

Volumn 6, Issue 7, 2011, Pages

  Tolambiya, Arvind ^a   Thomas, Elizabeth ^a   Chiovetto, Enrico ^b   Berret, Bastien ^c   Pozzo, Thierry ^a,c  

^a UNIVERSITÉ DE BOURGOGNE   (France)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BODY EQUILIBRIUM; CONTROLLED STUDY; DATA ANALYSIS; ELECTROMYOGRAPHY; FEMALE; HUMAN; HUMAN EXPERIMENT; KINEMATICS; MALE; MOTOR CONTROL; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; SKELETAL MUSCLE; SUPPORT VECTOR MACHINE; BIOMECHANICS; BODY POSTURE; MOTOR ACTIVITY; PHYSIOLOGY;

ADULT; BIOMECHANICS; ELECTROMYOGRAPHY; HUMANS; MALE; MOTOR ACTIVITY; MUSCLE, SKELETAL; POSTURE; SUPPORT VECTOR MACHINES;

EID: 79960830011     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0020732     Document Type: Article

References (48)

1. Winter DA, (2005) Biomechanics and Motor Control of Human Movement New Jersey John Wiley and Sons.
2. Winter DA, (1991) Biomechanics and Motor Control of Human Gait: Normal, Elderly and Pathological Waterloo, Ontario Waterloo Biomechanics Press.
3. Horak F, McPherson J, (1996) Postural orientation and equilibrium. In: Rowell LB, Sheperd JT, editors. Handbook of Physiology New York Oxford University Press.
4. Shadmehr R, Wise SP, (2005) The computational neurobiology of reaching and pointing: a foundation for motor learning Cambridge, MA The MIT Press.
5. Bear MF, Connors BW, Paradiso MA, (2001) Neuroscience, Exploring the Brain Pennsylvania Lippincott Williams and Wilkins.
6. Kandell ER, Schwartz JH, Jessell TM, (2000) Principles of Neural Science New York McGraw Hill.
7. Schmidt RA, Lee TD, (2005) Motor Control and Learning: A Behavioral Emphasis Illinois Human Kinetics.
8. Nair S, French R, Laroche D, Thomas E, (2010) The application of machine learning algorithms to the analysis of electromyographic patterns from arthritic patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering 18: 174-184.
9. Chan K, Lee TW, Sample P, Goldbaum M, Weinreb RN, et al. (2002) Comparison of machine learning and traditional classifiers in glaucoma diagnosis. IEEE Transactions on Biomedical Engineering 49: 963-974.
10. Begg R, Kamruzzaman J, (2005) A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data. J Biomechanics 38: 401-408.
11. Rencher AC, (2002) Methods of Multivariate Analysis New Jersey John Wiley and Sons Inc.
12. Grimm LG, Yarnold PR, (1994) Reading and Understanding Multivariate Statistics Washington, DC American Psychological Association.
13. Berret B, Bonnetblanc F, Papaxanthis C, Pozzo T, (2009) Modular control of pointing beyond arm's length. J Neuroscience 29: 191-205.
14. Chiovetto E, Berret B, Pozzo T, (2010) Tri-dimensional and triphasic muscle organization of whole-body pointing movements. Neuroscience 170 (4): 1223-38.
15. Fautrelle L, Berret B, Chiovetto E, Pozzo T, Bonnetblanc F, (2010) Equilibrium constraints do not affect the timing of muscular synergies during the initiation of a whole-body reaching movement. Exp Brain Res 203: 147-158.
16. Thomas JS, Corcos DM, Hasan Z, (2004) Kinematic and kinetic constraints on arm, trunk and leg segments in target-reaching movements. J Neurophysiol 93: 352-364.
17. Ivanenko YP, Cappellini G, Dominici N, Poppele RE, Lacquaniti F, (2005) Coordination of locomotion with voluntary movements in humans. J Neurosci 25: 7238-7253.
18. Kaminski TR, (2007) The coupling between upper and lower extremity synergies during whole-body reaching. Gait and Posture 26: 256-262.
19. Papaxanthis C, Pozzo T, McIntyre J, (2005) Kinematic and dynamic processes for the control of pointing movements in humans revealed by short-term exposure to microgravity. Neuroscience 135: 371-383.
20. Kendall FP, McCreary EK, Provance PG, Rogers MM, Romani WA, (1993) Muscles testing and function with posture and pain. Physiological therapy Baltimore, MD Lippincot Williams and Wilkins.
21. Vapnik VN, (1998) Statistical Learning Theory New Jersey John Wiley and Sons, Inc.
22. Vapnik, VN, (1995) The Nature of Statistical Learning Theory New York, NY Springer-Verlag.
23. Cortes C, Vapnik VN, (1995) Support-vector network. pp. 273-297 Machine Learning. Volume-20.
24. Theodoridis S, Koutroumbas K, (2003) Pattern Recognition. Second Edition Maryland Heights, MO Elsevier Academic Press.
25. Cherkassky V, Mullier P, (1998) Learning from Data, Concepts, Theory and Methods New York, NY John Wiley and Sons.
26. Tolambiya A, Venkataraman S, Kalra PK, (2010) Content-based image classification with wavelet relevance vector machines. Soft Computing 14 (2): 129-136.
27. Tolambiya A, Kalra PK, (2010) Relevance Vector Machine with Adaptive Wavelet Kernels for Efficient Image Coding. Neurocomputing 73 (7-9): 1417-1424.
28. Saeys Y, Inza I, Larranaga P, (2007) A review of feature selection techniques in bioinformatics. Bioinformatics 23: 2507-17.
29. Jean Carletta, (1996) Assessing agreement on classification tasks. The kappa statistics. Computational Linguistics 22 (2): 249-254.
30. Howell D, (1992) Statistical Methods for Psychology Boston, MA PWS Kent Publishing Company.
31. Hinton PR, (1995) Statistics explained. A Guide for Social Science Students London Routledge.
32. Poppele R, Bosco G, (2003) Sophisticated spinal contributions to motor control. Trends in Neuroscience 26: 269-279.
33. Cordo PJ, Nashner LM, (1982) Properties of postural adjustments associated with rapid arm movements. J Neurophysiol 47: 287-302.
34. Massion J, (1992) Movement, posture and equilibrium: Interaction and coordination. Progress in Neurobiology 38: 35-56.
35. Kaminski TR, Simpkins S, (2001) The effects of stance configuration and target distance on reaching. I. Movement preparation. Exp Brain Research 136: 439-46.
36. Stapley PJ, Pozzo T, Grishin A, Papaxanthis C, (1999) Does the coordination between posture and movement during whole-body reaching ensure centre of mass stabilisation? Exp Brain Res 129: 134-146.
37. Pozzo T, Stapley PJ, Papaxanthis C, (2002) Coordination between equilibrium and hand trajectories during whole-body pointing movements. Exp Brain Res 144: 343-350.
38. Soechting JF, Flanders M, (1992) Moving in Three Dimensional Space: Frames of Reference, Vectors and Coordinate Systems. Annual Review of Neuroscience 15: 167-191.
39. Bosco G, Poppele RE, (1997) Representation of multiple kinematic parameters of the cat hindlimb in spinocerebellar activity. J Neurophysiol 78: 1421-32.
40. Hufschmidt HJ, Hufschmidt TT, (1954) Antagonist inhibition as the earliest sign of a sensory-motor reaction. Nature 174: 607.
41. Cheron G, Bengoetxea A, Pozzo T, Bourgeois M, Draye JP, (1997) Evidence of a preprogrammed deactivation of the hamstring muscles for triggering rapid changes of posture in humans. Electroencephalogr Clin Neurophysiol 105: 58-71.
42. Hart C, Giszter S, (2010) A neural basis for motor primitives in the spinal cord. J Neuroscience 30: 1322-1336.
43. Nicolelis MA, Lebedev MA, (2009) Principles of neural ensemble physiology underlying the operation of brain-machine interfaces. Nature Neuroscience 10: 530-540.
44. Ghazanfar A, Stambaugh CR, Nicolelis MA, (2000) Encoding of tactile stimulus location by somatosensory thalamocortical ensembles. J Neuroscience 20: 3761-3775.
45. Thomas E, Van Hulle M, Vogels R, (2000) Encoding of categories by non-category specific neurons in the inferior temporal cortex. Journal of Cognitive Neuroscience 13: 190-200.
46. David A, Lerner B, (2005) Support vector machine-based image classification for genetic syndrome diagnosis. Pattern Recognition Letters 26: 1029-1038.
47. Wang Z, Childress AR, Wang J, Detre JA, (2007) Support vector machine learning-based fMRI data group analysis. Neuroimage 36: 1139-1151.
48. Fisher R, (1936) The use of multiple measurements in taxonomic problems. Annals of Eugenics 7: 179-188.