Mattia Di Florio
Dynamic modelling and experimental characterization of an elbow exoskeleton for the assessment of elbow post-stroke impedance.
Rel. Carlo Ferraresi, Nicola Vitiello, Simona Crea, Emilio Trigili. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2020
Abstract
Spasticity is one of the positive symptoms that characterized the Upper Motor Neuron (UMN) syndrome, which occurs in about 30% of post-stroke, in up to 85% of multiple sclerosis and in 71% of spinal cord injured patients. Nowadays, the most effective treatment consists in the pharmacological approach, which requires a precise evaluation of the patient’s condition to define the exact drug dose schedule. However, the current clinical scales adopted in the spasticity assessment do not satisfy the requirements in terms of precision and reliability, mostly because of inherent subjectivity and intra- and inter-rater variability. Therefore, to aid clinicians and improve the spasticity classification and evaluation, the development of a quantitative method for enhancing the quality of spasticity evaluation is mandatory.
This thesis project aims at performing a dynamic modelling and experimental characterization of an elbow exoskeleton (the NeuroExos Elbow Module – NEEM) as a starting point for the implementation of a novel method for the impedance estimation, as a proxy measure of spasticity, by means of a robotic device
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