Abstract
The aim of this study was to investigate the potential of Motion Capture (MoCap) technique in the extraction of information about Biceps Brachii (BB) surface deformation for the characterization of its activation under isometric conditions. Thus, the dominant BB muscles of five healthy male subjects were tested using high density optic sensors (41 markers) and 18 infrared cameras. For each subject, ultrasound images were taken in order to extract architectural parameters (muscle length, boundaries and position). Afterwards, the 4 mm markers were placed in a lozenge shape by respecting the obtained boundaries. Four contraction levels: 20, 40, 60 and 80% of the Maximum Voluntary Contraction (MVC) were recorded in parallel with the corresponding 3D position of the markers. Fitting procedure in both 2D and 3D was proceeded to extract deformation information. Analysis of the obtained results showed that the curvature of the BB is directly correlated to the level of contraction. Furthermore, parameters obtained from ellipsoid fitting of the 3D dataset, showed monotonic relationship with the muscle contraction level.
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References
J. Shi, Y.-P. Zheng, Q.-H. Huang, and X. Chen, “Continuous Monitoring of Sonomyography, Electromyography and Torque Generated by Normal Upper Arm Muscles During Isometric Contraction: Sonomyography Assessment for Arm Muscles,” IEEE Trans. Biomed. Eng., vol. 55, no. 3, pp. 1191–1198, Mar. 2008.
Y. P. Zheng, M. M. F. Chan, J. Shi, X. Chen, and Q. H. Huang, “Sonomyography: Monitoring morphological changes of forearm muscles in actions with the feasibility for the control of powered prosthesis,” Med. Eng. Phys., vol. 28, no. 5, pp. 405–415, Jun. 2006.
B. J. van der Linden, H. F. Koopman, H. J. Grootenboer, and P. A. Huijing, “Modelling functional effects of muscle geometry,” J. Electromyogr. Kinesiol. Off. J. Int. Soc. Electrophysiol. Kinesiol., vol. 8, no. 2, pp. 101–109, Apr. 1998.
G. Bleser, D. Steffen, M. Weber, G. Hendeby, D. Stricker, L. Fradet, F. Marin, N. Ville, and F. Carré, “A Personalized Exercise Trainer for the Elderly,” J Ambient Intell Smart Env., vol. 5, no. 6, pp. 547–562, Nov. 2013.
K. Ben Mansour, F.-R. Sarhan, C. Neiva, C. Godard, B. Devauchelle, F. Marin, and S. Dakpé, “Analysis of mimic facial movements based on motion capture,” Comput. Methods Biomech. Biomed. Engin., vol. 17, no. sup1, pp. 78–79, Aug. 2014.
I. Zelman, M. Galun, A. Akselrod-Ballin, Y. Yekutieli, B. Hochner, and T. Flash, “Nearly automatic motion capture system for tracking octopus arm movements in 3D space,” J. Neurosci. Methods, vol. 182, no. 1, pp. 97–109, Aug. 2009.
L. Edward, S. Dakpe, P. Feissel, B. Devauchelle, and F. Marin, “Quantification of facial movements by motion capture,” Comput. Methods Biomech. Biomed. Engin., vol. 15, no. sup1, pp. 259–260, Sep. 2012.
S. S. Blemker, P. M. Pinsky, and S. L. Delp, “A 3D model of muscle reveals the causes of nonuniform strains in the biceps brachii,” J. Biomech., vol. 38, no. 4, pp. 657–665, Apr. 2005.
J. Teran, S. Blemker, V. N. T. Hing, and R. Fedkiw, “Finite Volume Methods for the Simulation of Skeletal Muscle,” in Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, Aire-la-Ville, Switzerland, Switzerland, 2003, pp. 68–74.
L. M. Dario Farina, “A Surface EMG Generation Model With Multilayer Cylindrical Description of the Volume Conductor,” IEEE Trans. Biomed. Eng., vol. 51, no. 3, pp. 415–26, 2004.
S. Allouch, M. Al Harrach, S. Boudaoud, J. Laforet, F. S. Ayachi, and R. Younes, “Muscle force estimation using data fusion from high-density SEMG grid,” 2013, pp. 195–198.
A. Botter, H. R. Marateb, B. Afsharipour, and R. Merletti, “Solving EMG-force relationship using Particle Swarm Optimization,” Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Conf., vol. 2011, pp. 3861–3864, 2011.
F. S. Ayachi, S. Boudaoud, and C. Marque, “Evaluation of muscle force classification using shape analysis of the sEMG probability density function: a simulation study,” Med. Biol. Eng. Comput., vol. 52, no. 8, pp. 673–684, Aug. 2014.
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AL Harrach, M., Boudaoud, S., Ben Mansour, K., Grosset, JF., Marin, F. (2016). Estimation of the Relationship Between External Biceps Brachii Deformation and Isometric Contraction Level Using Motion Capture Technique. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_8
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DOI: https://doi.org/10.1007/978-3-319-32703-7_8
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