NDLI: Simultaneous and nonlinear identification of mechanical and reflex properties of human elbow joint muscles

Content Provider	IEEE Xplore Digital Library
Author	Li-Qun Zhang Rymer, W.Z.
Copyright Year	1964
Abstract	The naturally coexisting intrinsic mechanical and reflex properties of the human elbow joint were identified simultaneously using nonlinear, time-delay, continuous-time, and dynamic models. Angular random perturbations of small amplitude and low bandwidth were applied to the joint using a computer-controlled servomotor, while the subject maintained various levels of mean background muscle torque. Joint neuromuscular dynamics were identified from the measured elbow angle and torque. Stretch reflexes were modeled nonlinearly with both dynamic and static reflex gains. A continuous-time system identification method was developed to estimate parameters of the nonlinear models directly from sampled data while retaining realistic physical or physiological interpretations. Results from six subjects showed that dynamic stretch reflex gains, joint stiffness, and viscosity generally increased with mean background muscle torque; and that dynamic stretch reflex gain was higher during muscle stretch than that during muscle shortening. More importantly, the study provided realistic simultaneous estimates of the relative contributions of intrinsic mechanical and reflex actions to net joint torque. In particular, reflexively-mediated stiffness generated a significant portion of the total joint stiffness and the percentage varied systematically with background muscle torque.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	18
File Size	514078
Starting Page	1192
Ending Page	1209
File Format	PDF
ISSN	00189294
Volume Number	44
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mechanical factors Humans Elbow Muscles Nonlinear dynamical systems Bandwidth Servomotors Neuromuscular Torque measurement Goniometers
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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