Modeling of Wrist and Hand Motion while Performing Functional Task

Article Preview

Abstract:

A large prescriptive data set of wrist, metacarpal arch fingers and thumb movements has been collected using twenty-four 4mm hemispherical passive reflective markers placed on the wrist, hand and fingers. Movements of each participant were captured by a set of 6-camera infrared motion analysis system (QUALISYS) sampling at 60Hz while undertaking a clinical hand function assessment, the Southampton Hand Assessment Procedure (SHAP). Without Muscle Contraction and With Muscle Contraction versions of objects are assessed and were tested, characteristics of individual movement strategies presented and initial results have shown interesting variations that correspond with physiological and functional approaches to movement. With the whole designed system, patient can improved hand function with the result of vigorous physical activity through the SHAP procedures, from the supervision of researcher can determine the functionality of one patient’s hand and wrist which will benefit subjects with a dramatic effect on one’s daily life as we know exercise is related to better health. Using advanced software such as Visual 3D and Qualisys Tracking Manager, researcher can monitor patient’s recovery progress, with suitable angle of calculation of one’s fingers, acceptable force and velocity of one’s produced depending on age and size of hand of subjects.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

2316-2320

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G. Rau, C. Disselhorst-Klug, and R. Schmidt, Movement biomechanics goes upwards: From the leg to the arm, J. Biomech., vol. 33, p.1207–1216, (2000).

DOI: 10.1016/s0021-9290(00)00062-2

Google Scholar

[2] A. Murgia, A gait analysis approach to the study of upper limb kinematics using activities of daily living, Ph.D. dissertation, University of Reading, U.K., (2005).

Google Scholar

[3] N. Miyata, M. Kouchi, T. Kurihara, and M. Mochimaru, Modelling of human hand link structure from optical motion capture data, in Proc. Int. Conf. Intelligent Robots Systems, Sendai, Japan, 2004, p.2129–2135.

DOI: 10.1109/iros.2004.1389724

Google Scholar

[4] F. -C. Su, Y. L. Chou, C. S. Yang, G. T. Lin, and K. N. An, Movement of finger joints induced by synergistic wrist motion, Clin. Biomech., vol. 20, p.491–497, (2005).

DOI: 10.1016/j.clinbiomech.2005.01.002

Google Scholar

[5] I. Carpinella, P. Mazzoleni, M. Rabuffetti, R. Thorsen, and M. Ferrarin, Experimental protocol for the kinematic analysis of the hand: Definition and repeatability, Gait Posture, vol. 23, p.445–454, (2006).

DOI: 10.1016/j.gaitpost.2005.05.001

Google Scholar

[6] C. F. Small, J. T. Bryant, I. L. Dwosh, P. M. Griffiths, D. R. Pichora, and B. Zee, Validation of a 3D optoelectronic motion analysis system for the wrist joint, Clin. Biomech., vol. 11, p.481–483, (1996).

DOI: 10.1016/s0268-0033(96)00042-3

Google Scholar

[7] L. Dipietro, A. M. Sabatini, and P. Dario, Evaluation of an instrumented glove for hand-movement acquisition, J. Rehabil. Res. Dev., vol. 40, p.179–190, (2003).

DOI: 10.1682/jrrd.2003.03.0181

Google Scholar

[8] J. H. Ryu, N. Miyata, M. Kouchi, M. Mochimaru, and K. H. Lee, Analysis of skin movement with respect to flexional bone motion using MR images of the hand, J. Biomech., vol. 39, p.844–852, (2006).

DOI: 10.1016/j.jbiomech.2005.02.001

Google Scholar

[9] N. K. Fowler and A. C. Nicol, Functional and biomechanical assessment of the normal and rheumatoid hand, Clin. Biomech., vol. 16, p.660–666, (2001).

DOI: 10.1016/s0268-0033(01)00057-2

Google Scholar

[10] R. Degeorges, J. Parasie, D. Mitton, N. Imbert, J. -N. Goubier, and F. Lavaste, Three-dimensional rotations of human three-joint fingers: An optoelectronic measurement. Preliminary results, Surg. Radiol. Anat., vol. 27, p.43–50, (2005).

DOI: 10.1007/s00276-004-0277-4

Google Scholar

[11] G. S. Rash, P. P. Belliappa, M. P. Wachowiak, N. N. Somia, and A. Gupta, A demonstration of the validity of a 3-D video motion analysis method for measuring finger flexion and extension, J. Biomech., vol. 32, p.1337–1341, (1999).

DOI: 10.1016/s0021-9290(99)00140-2

Google Scholar

[12] Schlesinger, G., 1919. Der Mechanische Aufbau der Kuntslichen Glieder. In: Smith, L. K., et al (Eds. ) 1996 Brunnstrom's Clinical Kinesiology. 5th Edition. Philadelphia: F.A. Davies Company.

Google Scholar

[13] Napier, J. R., 1956. The Prehensile Movements of the Human Hand. Journal of Bone and Joint Surgery. (38B). 902 913.

DOI: 10.1302/0301-620x.38b4.902

Google Scholar

[14] Landsmeer, J. M. F., 1962. Power Grip and Precision Handling. Annals of Rheumatic Disease. (21). 164 – 169.

DOI: 10.1136/ard.21.2.164

Google Scholar