Applications of System Identification Techniques in Characterizing and Tracking Neuromuscular Abnormalities

Abstract

Neurological disorders are typically followed by the secondary changes in neuromuscular properties. Characterizing the neuromuscular abnormalities and separating their tendon-muscular (intrinsic) and reflexive components are critical for prescribing an appropriate and effective treatment, since each component needs different types of treatments. Our studies demonstrate that the non-parametric parallel-cascade system-identification approach was quite successful in determining the neuromuscular abnormalities, separating the intrinsic and reflex components, tracking the development of their abnormalities, or the improvements of these impairments due to the administration of different types of interventions.