DocumentCode
954394
Title
Stability and movement of a one-link neuromusculoskeletal sagittal arm
Author
Dinneen, Janet A. ; Hemami, Hooshang
Author_Institution
Riverside Methodist Hospital, Columbus, OH, USA
Volume
40
Issue
6
fYear
1993
fDate
6/1/1993 12:00:00 AM
Firstpage
541
Lastpage
548
Abstract
The stability and point-to-point and rhythmic movements of a one-link sagittal arm are studied. The system is highly nonlinear. Its major physiological characteristics are simultaneous activation of a pair of nonlinear muscle-like actuators for control purposes, existence of nonlinear spindle-like sensors, and actions of gravity and loading. Transmission delays are included in the afferent and efferent neural paths to account for a more accurate representation of the reflex loops. An algorithm for computation of the actuator forces and the feedback signals in the system is provided. It automatically renders positive forces and positive neural signals. The positiveness of the forces represents the unidirectional character of muscular forces. The positiveness of the neural signals implies that these signals can correspond to firing rates. The system is designed to perform stable point-to-point movement. The effects of presetting the input signals, of the nonlinearities in the dynamics, actuators, and feedback signals, and of the delays and gain in the feedback loops in destabilizing the system, and the consequent undesirable oscillations, are studied by simulation.<>
Keywords
biomechanics; mechanical stability; muscle; neurophysiology; physiological models; 1-link neuromusculoskeletal sagittal arm; actuator forces; feedback loops; feedback signals; firing rates; highly nonlinear system; muscular forces; neural paths; neural signals; nonlinear spindle-like sensors; physiological characteristics; physiological system model; point-to-point movements; rhythmic movements; transmission delays; undesirable oscillations; Actuators; Delay effects; Feedback loop; Force feedback; Gravity; Neurofeedback; Nonlinear dynamical systems; Sensor phenomena and characterization; Stability; Algorithms; Arm; Elasticity; Feedback; Humans; Models, Biological; Movement; Muscles; Reference Values; Tremor;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.237673
Filename
237673
Link To Document