Abstract
AbstractThe motor system is hypothesised to use kinematic synergies to simplify hand control. Recent studies suggest that there is a large set of synergies, sparse in degrees of freedom, shared across subjects, so that each subject performs each action with a sparse combination of synergies. Identifying how synergies are shared across subjects can help in prostheses design, in clinical decision-making or in rehabilitation. Subject-specific synergies of healthy subjects performing a wide number of representative daily living activities were obtained through principal component analysis. To make synergies comparable between subjects and tasks, the hand kinematics data were scaled using normative range of motion data. To obtain synergies sparse in degrees of freedom a rotation method that maximizes the sum of the variances of the squared loadings was applied. Resulting synergies were clustered and each cluster was characterized by a core synergy and different indexes (prevalence, relevance for function and within-cluster synergy similarity), substantiating the sparsity of synergies. The first two core synergies represent finger flexion and were present in all subjects. The remaining core synergies represent coordination of the thumb joints, thumb-index joints, palmar arching or fingers adduction, and were employed by subjects in different combinations, thus revealing different subject-specific strategies.
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. Van Zwieten, K. J., Schmidt, K. P., Bex, G. J., Lippens, P. L. & Duyvendak, W. An analytical expression for the D.I.P.-P.I.P. flexion interdependence in human fingers. Acta Bioeng. Biomech. 17, 129–35 (2015).
2. Santello, M., Flanders, M. & Soechting, J. F. Patterns of Hand Motion during Grasping and the Influence of Sensory Guidance. J. Neurosci. 22, 1426–1435 (2002).
3. Ingram, J. N. et al. The statistics of natural hand movements. Exp Brain Res 188, 223–236 (2008).
4. Gracia-Ibáñez, V., Vergara, M. & Sancho-Bru, J.-L. Interdependency of the maximum range of flexionextension of hand metacarpophalangeal joints. Comput. Methods Biomech. Biomed. Engin. 16, 1800–1807 (2016).
5. Schieber, M. H. & Santello, M. Neural Control of Movement Hand function: peripheral and central constraints on performance. J Appl Physiol 96, 2293–2300 (2004).
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