Volume 3, Issue 1 (2-2021)                   IJMCL 2021, 3(1): 1-3 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sanjari M A. Let’s Avoid Confusion in Notation of UCM Synergy Indexes. IJMCL. 2021; 3 (1) :1-3
URL: http://ijmcl.com/article-1-78-en.html
Associate Professor of Biomechanics, Rehabilitation Research Center, and Department of Basic Rehabilitation Sciences, Faculty of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran
Abstract:   (701 Views)
Uncontrolled Manifold (UCM) approach has gained a lot of attention in the field of movement variability and related areas of research. The diversity of applications and the need to explore new UCM-based measures along with the advances in mathematical methods in UCM have led to several formulas for UCM outcome measures with different notations and conflicting interpretations. This letter is intended to summarize the most popular indexes while suggesting a unified notation.
Full-Text [PDF 254 kb]   (216 Downloads)    
Type of Study: Original Article | Subject: 1-3. Sport Psychology
Received: 2020/11/1 | Accepted: 2020/12/6 | Published: 2021/02/5

1. Black, D. P., Smith, B. A., Wu, J., & Ulrich, B. D. (2007). Uncontrolled manifold analysis of segmental angle variability during walking: preadolescents with and without Down syndrome. Experimental Brain Research, 183(4), 511-521. [DOI:10.1007/s00221-007-1066-1] [PMID]
2. Gianikellis, K., Sánchez-Margallo, F. M., Skiadopoulos, A., Sánchez-Margallo, J. A., & de Mendoza Aranda, J. H. (2015). Head stabilization during minimal invasive surgery tasks: An uncontrolled manifold analysis. Procedia Manufacturing, 3, 1434-1441. [DOI:10.1016/j.promfg.2015.07.312]
3. Hsu, W.-L., Chou, L.-S., & Woollacott, M. (2013). Age-related changes in joint coordination during balance recovery. AGE, 35(4), 1299-1309. doi:10.1007/s11357-012-9422-x [DOI:10.1007/s11357-012-9422-x] [PMID] [PMCID]
4. Hsu, W.-L., Scholz, J. P., Schoner, G., Jeka, J. J., & Kiemel, T. (2007). Control and estimation of posture during quiet stance depends on multijoint coordination. Journal of neurophysiology, 97(4), 3024-3035. [DOI:10.1152/jn.01142.2006] [PMID]
5. Papi, E., Rowe, P. J., & Pomeroy, V. M. (2015). Analysis of gait within the uncontrolled manifold hypothesis: Stabilisation of the centre of mass during gait. Journal of Biomechanics, 48(2), 324-331. Retrieved from http://www.sciencedirect.com/science/article/pii/S0021929014006125 [DOI:10.1016/j.jbiomech.2014.11.024] [PMID]
6. Park, E., Reimann, H., & Schöner, G. (2016). Coordination of muscle torques stabilizes upright standing posture: an UCM analysis. Experimental Brain Research, 234(6), 1757. doi:10.1007/s00221-016-4576-x [DOI:10.1007/s00221-016-4576-x] [PMID]
7. Park, E., Schöner, G., & Scholz, J. P. (2012). Functional synergies underlying control of upright posture during changes in head orientation. PLoS ONE, 7(8), e41583. Retrieved from https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0041583 [DOI:10.1371/journal.pone.0041583] [PMID] [PMCID]
8. Park, J., Singh, T., Zatsiorsky, V. M., & Latash, M. L. (2012). Optimality versus variability: effect of fatigue in multi-finger redundant tasks. Experimental Brain Research, 216(4), 591-607. [DOI:10.1007/s00221-011-2963-x] [PMID] [PMCID]
9. Robert, T., Zatsiorsky, V. M., & Latash, M. L. (2008). Multi-muscle synergies in an unusual postural task: quick shear force production. Experimental Brain Research, 187(2), 237-253. [DOI:10.1007/s00221-008-1299-7] [PMID] [PMCID]
10. Scholz, J. P., & Schöner, G. (1999). The uncontrolled manifold concept: identifying control variables for a functional task. Experimental Brain Research, 126(3), 289-306. [DOI:10.1007/s002210050738] [PMID]
11. Serrien, B., Witterzeel, E., & Baeyens, J.-P. (2018). The Uncontrolled Manifold Concept Reveals That the Structure of Postural Control in Recurve Archery Shooting Is Related to Accuracy. Journal of Functional Morphology and Kinesiology, 3(3), 48. [DOI:10.3390/jfmk3030048] [PMID] [PMCID]
12. Solnik, S., Pazin, N., Coelho, C. J., Rosenbaum, D. A., Scholz, J. P., Zatsiorsky, V. M., & Latash, M. L. (2013). End-state comfort and joint configuration variance during reaching. Experimental Brain Research, 225(3), 431-442. [DOI:10.1007/s00221-012-3383-2] [PMID] [PMCID]
13. Tawy, G. F., Rowe, P., & Biant, L. (2018). Gait variability and motor control in patients with knee osteoarthritis as measured by the uncontrolled manifold technique. Gait & Posture, 59, 272-277. doi:10.1016/j.gaitpost.2017.08.015 [DOI:10.1016/j.gaitpost.2017.08.015] [PMID]
14. Togo, S., Kagawa, T., & Uno, Y. (2016). Uncontrolled manifold reference feedback control of multi-joint robot arms. Frontiers in computational neuroscience, 10, 69. [DOI:10.3389/fncom.2016.00069] [PMID] [PMCID]
15. Verrel, J. (2010). Distributional properties and variance-stabilizing transformations for measures of uncontrolled manifold effects. Journal of Neuroscience Methods, 191(2), 166-170. [DOI:10.1016/j.jneumeth.2010.06.016] [PMID]
16. Yen, J. T., & Chang, Y.-H. (2009). Rate-dependent control strategies stabilize limb forces during human locomotion. Journal of The Royal Society Interface, 7(46), 801-810. [DOI:10.1098/rsif.2009.0296] [PMID] [PMCID]

Add your comments about this article : Your username or Email:

Send email to the article author

© 2021 CC BY-NC 4.0 | International Journal of Motor Control and Learning

Designed & Developed by : Yektaweb