A novel muscle synergy extraction method to explain the equilibrium-point trajectory and endpoint stiffness during human upper-limb movements on a horizontal plane

Based on the idea of synergy to explore the building blocks of movements, this study focused on the muscle space for reaching movements by human upper limbs on a horizontal plane to estimate the relationship among muscle synergies, equilibrium-point (EP) trajectories, and endpoint stiffness in two ways: (1) a novel estimation method that analyzes electromyographic signals under the concept of agonist-antagonist (A-A) muscle pairs and (2) a conventional estimation method that uses mechanical perturbations. The experimental results suggest that (1) muscle activities of reaching movements by human upper limbs are represented by only three functional muscle synergies; (2) each muscle synergy balances the coacti-vations of A-A muscle pairs; (3) two of the muscle synergies are invariant bases that form an EP trajectory described in polar coordinates centered on a shoulder joint, where one is a composite unit for radial movement and the other is for angular movement; and (4) the third muscle synergy is the invariant basis for additional adjustment of the endpoint stiffness and has some influence on the direction and size of the endpoint stiffness ellipse.

[1]  Emilio Bizzi,et al.  Combinations of muscle synergies in the construction of a natural motor behavior , 2003, Nature Neuroscience.

[2]  J. Flanagan,et al.  The Origin of Electromyograms - Explanations Based on the Equilibrium Point Hypothesis , 1990 .

[3]  N. A. Bernshteĭn The co-ordination and regulation of movements , 1967 .

[4]  Fumio Miyazaki,et al.  Novel equilibrium-point control of agonist-antagonist system with pneumatic artificial muscles: II. Application to EMG-based human-machine interface for an elbow-joint system , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Fumio Miyazaki,et al.  Decomposition of Limb Movement Based on Muscular Coordination During Human Running , 2011, J. Adv. Comput. Intell. Intell. Informatics.

[6]  Fumio Miyazaki,et al.  Extraction and implementation of muscle synergies in neuro-mechanical control of upper limb movement , 2014, Adv. Robotics.

[7]  Mitsuo Kawato,et al.  Human arm stiffness and equilibrium-point trajectory during multi-joint movement , 1997, Biological Cybernetics.

[8]  Fumio Miyazaki,et al.  Tacit representation of muscle activities during coordination training: Muscle synergy analysis to visualize motor enhancement in virtual trajectory of multi-joint arm movement , 2014, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

[9]  Panagiotis K. Artemiadis,et al.  EMG-Based Control of a Robot Arm Using Low-Dimensional Embeddings , 2010, IEEE Transactions on Robotics.

[10]  J. F. Soechting,et al.  Postural Hand Synergies for Tool Use , 1998, The Journal of Neuroscience.

[11]  Y. Koike,et al.  A myokinetic arm model for estimating joint torque and stiffness from EMG signals during maintained posture. , 2009, Journal of neurophysiology.