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Applications of System Identification Techniques in Characterizing and Tracking Neuromuscular Abnormalities Publisher



Mirbagheri MM1, 2, 3, 4
Authors
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Authors Affiliations
  1. 1. Department of Physical Medicine and Rehabilitation, Northwestern University, Evanston, United States
  2. 2. AbilityLab, Chicago, United States
  3. 3. Department of Medical Physics and Biomedical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Neural Engineering Research Center, Noorafshar Hospital, Tehran, Iran

Source: Biosystems and Biorobotics Published:2019


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. © 2019, Springer Nature Switzerland AG.