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Disentangling stability and flexibility degrees in Parkinson's disease using a computational postural control model.

Zahra Rahmati | Alfred C Schouten | Saeed Behzadipour | Ghorban Taghizadeh | Keikhosrow Firoozbakhsh
Journal of neuroengineering and rehabilitation | 2019

Impaired postural control in Parkinson's disease (PD) seriously compromises life quality. Although balance training improves mobility and postural stability, lack of quantitative studies on the neurophysiological mechanisms of balance training in PD impedes the development of patient-specific therapies. We evaluated the effects of a balance-training program using functional balance and mobility tests, posturography, and a postural control model.

Pubmed ID: 31412926

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MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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