Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
Ghulam RasoolGannon White

Abstract

We present a novel formulation that employs task-specific muscle synergies and state-space representation of neural signals to tackle the challenging myoelectric control problem for lower arm prostheses. The proposed framework incorporates information about muscle configurations, e.g., muscles acting synergistically or in agonist/antagonist pairs, using the hypothesis of muscle synergies. The synergy activation coefficients are modeled as the latent system state and are estimated using a constrained Kalman filter. These task-dependent synergy activation coefficients are estimated in real-time from the electromyogram (EMG) data and are used to discriminate between various tasks. The task discrimination is helped by a post-processing algorithm that uses posterior probabilities. The proposed algorithm is robust as well as computationally efficient, yielding a decision with > 90% discrimination accuracy in approximately 3 ms . The real-time performance and controllability of the algorithm were evaluated using the targeted achievement control (TAC) test. The proposed algorithm outperformed common machine learning algorithms for single- as well as multi-degree-of-freedom (DOF) tasks in both off-line discrimination accuracy and real-t...Continue Reading

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Citations

Jul 1, 2016·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Taimoor AfzalAndrew B Wright
Dec 9, 2017·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Sharon IsraelyEli Carmeli
Jun 1, 2018·Applied Bionics and Biomechanics·Rajat Emanuel SinghTarun Edgar Hutchinson
Jul 13, 2017·Journal of Neuroengineering and Rehabilitation·Agamemnon KrasoulisSethu Vijayakumar
Jan 11, 2020·Frontiers in Neurorobotics·Liang He, Pierre A Mathieu

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