Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4964973 | Computers in Biology and Medicine | 2017 | 8 Pages |
Abstract
The use of robotics and HD-sEMG, in conjunction with musculoskeletal modeling, to quantify neuromuscular characteristics has been explored. Despite the ability to predict joint kinematics with relatively high accuracy, parameter characterization was inconsistent i.e. many parameter combinations gave rise to minimal kinematic error. Significance: The proposed technique is a novel approach for in vivo neuromuscular characterization and is a step towards the realization of objective in-home robot-assisted rehabilitation. Importantly, the results have confirmed the technical (robot and HD-sEMG) feasibility while highlighting the need to develop new musculoskeletal models and optimization techniques capable of achieving consistent results across a range of dynamic tasks.
Related Topics
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Authors
V.R. Jayaneththi, J. Viloria, L.G. Wiedemann, C. Jarrett, A.J. McDaid,