Data-Driven Model for Upper Limb Spasticity Detection

Authors

  • Jingye Yee Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Johor http://orcid.org/0000-0002-5355-7908
  • Cheng Yee Low Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Johor
  • Natiara Mohamad Hashim Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, 47000, MALAYSIA
  • Fazah Akhtar Hanapiah Faculty of Medicine Universiti Teknologi MARA 47000 Sungai Buloh Selangor
  • Wei Shien Soh Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Johor
  • Noor Ayuni Che Zakaria Faculty of Mechanical Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor
  • Mohammed Najeh Nemah Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Johor
  • Laban Asmar Fraunhofer Institute for Mechatronic Systems Design 33102 Paderborn
  • Martin Rabe Fraunhofer IEM, Zukunftsmeile 1, Paderborn, 33102, GERMANY
  • Sebastian von Enzberg Fraunhofer Institute for Mechatronic Systems Design 33102 Paderborn
  • Roman Dumitrescu Fraunhofer Institute for Mechatronic Systems Design 33102 Paderborn

Keywords:

Upper Limb Spasticity, Mathematical Modelling, Clinical Data, Clinical Simulation

Abstract

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.

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Published

24-04-2021

How to Cite

Yee, J., Low, C. Y., Mohamad Hashim, N. ., Hanapiah, F. A., Soh, W. S., Che Zakaria, N. A., Nemah, M. N., Asmar, L., Rabe, M. ., von Enzberg, S., & Dumitrescu, R. (2021). Data-Driven Model for Upper Limb Spasticity Detection. International Journal of Integrated Engineering, 13(4), 180–188. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/3800

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