Open AccessVerification of Mathematical Model for Upper Limb Spasticity with Clinical Data
Author(s) -
Jingye Yee,
Cheng Yee Low,
Pauline Ong,
W S Soh,
Fazah Akhtar Hanapiah,
Noor Ayuni Che Zakaria,
Sebastian von Enzberg,
Laban Asmar,
Roman Dumitrescu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/824/1/012013
Subject(s) - spasticity , modified ashworth scale , elbow , physical medicine and rehabilitation , upper limb , forearm , work (physics) , rehabilitation , physical therapy , scale (ratio) , computer science , medicine , engineering , physics , surgery , mechanical engineering , quantum mechanics
Healthcare providers in the field of physical and rehabilitation medicine play a vital role to help patients suffering spasticity readapting themselves to their normal daily activities. Mathematical modeling of spasticity has the potential to avoid the issue of variability in the assessment of spasticity using the Modified Ashworth scale (MAS). In this work, an existing mathematical model for upper limb spasticity is verified using clinical data sets of upper limb spasticity collected in Malaysia at the level of MAS 1+. The data set consists of torque values measured at each elbow angle as the elbow extends from a full flexion position to a full extension position during slow and fast stretch of the forearm. The aim is to find out the capability of the mathematical model and lay a foundation for the future work on data-driven modeling of upper limb spasticity based on the Modified Ashworth Scale.