Literature DB >> 9210822

Evaluation of antagonist coactivation strategies elicited from electrically stimulated muscles under load-moving conditions.

B H Zhou1, S R Katz, R V Baratta, M Solomonow, R D D'Ambrosia.   

Abstract

Muscle coactivation strategies that produce ankle dorsiflexion and plantar flexion were elicited by electrical stimulation of the tibialis anterior (TA) and soleus (SOL) muscles of the cat, and examined under several loading conditions. Four different load types were used: free-limb motion (no load), fly-wheel, and two pendulums, each with a different lever arm. Three types of coactivation strategies were considered. The first coactivation strategy consisted of antagonist activity that decreased as the agonist activity increased. The second strategy consisted of increasing antagonist activity with increasing agonist activity. And, in the third strategy, antagonist coactivation decreased at low force levels, then increased at high force levels. The three strategies were evaluated based on the joint angle's peak-to-peak movement and its ability to track a linear input command given by the correlation coefficient of the output signal versus linear input. Results showed that increasing antagonist activity resulted in decreasing peak-to-peak angle and a decreased signal tracking capability for each load condition. The latter, however, was not as obvious in the flywheel load (as compared with free-moving and pendulum conditions). A decreasing peak-to-peak torque for pendulum loads was also observed with increasing antagonist activity. In all loading conditions, maximal peak-to-peak angle and torque were present when a moderate degree of antagonist activity was engaged, and signal tracking capability improved with earlier engagement of the antagonist muscles. It is suggested that strategies using a combination of low-level coactivation, as described in the physiological literature and previous functional electrical stimulation (FES) studies, could satisfactorily address the issues of controllability and efficiency while maintaining long-term joint integrity.

Mesh:

Year:  1997        PMID: 9210822     DOI: 10.1109/10.594903

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Adaptive fuzzy control of electrically stimulated muscles for arm movements.

Authors:  S Micera; A M Sabatini; P Dario
Journal:  Med Biol Eng Comput       Date:  1999-11       Impact factor: 2.602

2.  Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

3.  Adaptive multichannel FES neuroprosthesis with learning control and automatic gait assessment.

Authors:  Philipp Müller; Antonio J Del Ama; Juan C Moreno; Thomas Schauer
Journal:  J Neuroeng Rehabil       Date:  2020-02-28       Impact factor: 4.262

  3 in total

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