DocumentCode :
1141783
Title :
Stability analysis for postural control in a two-joint limb system
Author :
Lan, Ning
Author_Institution :
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
10
Issue :
4
fYear :
2002
Firstpage :
249
Lastpage :
259
Abstract :
The stability behavior of a multi-joint limb with electrically activated muscles provides important clues for postural control of motor tasks. The stability property of the musculoskeletal system can be characterized with its eigenvalues evaluated at operating postures in the workspace. A planar arm model with shoulder and elbow joints and three pairs of antagonistic muscles was constructed in ADAMS. Stability behavior of shoulder and elbow joints was analyzed using the loci of eigenvalues in the s-plane. In the analysis of open-loop cocontraction of antagonist muscles with increasing activation from 5% to 100%, the eigenvalues of the shoulder and elbow joints were confined within the left half of the s-plane in a stripe of ±j0.5, and moved toward left onto the real axis. The shoulder eigenvalues were generally nearer to the imaginary axis than the elbow ones, indicating a more oscillatory behavior at the shoulder joint than that at the elbow joint. The effects of joint configuration evaluated within the workspace from 40° to 110° for the elbow and from 40° to 120° for the shoulder showed that the elbow eigenvalues were more prone to configuration changes, particularly elbow angles. We also developed a simulation paradigm for sampled data FES control systems that contain a mixture of continuous time components and sampling and hold effects. This simulation paradigm is useful for realistic simulation of local feedback controller performance.
Keywords :
biocontrol; bioelectric phenomena; biomechanics; eigenvalues and eigenfunctions; mechanical stability; muscle; neuromuscular stimulation; neurophysiology; patient rehabilitation; physiological models; ADAMS; Automatic Dynamic Analysis of Mechanical Systems; antagonistic muscles; biomechanical model; configuration changes; continuous time components; eigenvalues; elbow angles; elbow joints; electrically activated muscles; functional electrical stimulation; hold effects; imaginary axis; joint configuration; local feedback controller performance; more oscillatory behavior; motor tasks; multi-joint limb; musculoskeletal system; open-loop cocontraction; operating postures; paraplegic patients; planar arm model; postural control; quadriplegic patients; realistic simulation; s-plane; sampled data FES control systems; sampling effects; shoulder joints; simulation paradigm; stability analysis; two-joint limb system; workspace; Adaptive control; Control system synthesis; Control systems; Eigenvalues and eigenfunctions; Elbow; Muscles; Musculoskeletal system; Sampling methods; Shoulder; Stability analysis; Computer Simulation; Elbow Joint; Electric Stimulation Therapy; Feedback; Humans; Models, Biological; Muscle Contraction; Muscle, Skeletal; Musculoskeletal Equilibrium; Posture; Recruitment, Neurophysiological; Shoulder Joint; Signal Processing, Computer-Assisted; Stochastic Processes; Stress, Mechanical;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2002.806842
Filename :
1178096
Link To Document :
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