Modelling Spasticity: A way of improving clinical teaching

  • Research type

    Research Study

  • Full title

    Developing a prototype to model spasticity and hypertonia as a tool to improve clinical teaching and research outcomes

  • IRAS ID

    339638

  • Contact name

    Gabriela Gonzalez Chan

  • Contact email

    gabriela.gonzalezchan@plymouth.ac.uk

  • Sponsor organisation

    University of Plymouth - Research & Innovation

  • Clinicaltrials.gov Identifier

    4918, Plymouth Ethics Online System

  • Duration of Study in the UK

    1 years, 3 months, 1 days

  • Research summary

    According to the Johns Hopkins Medicine website spasticity affects approximately 12 million people worldwide. Hypertonia and spasticity are two terms that quite often get use interchangeably in the clinical practice. However, spasticity is a sub-type of hypertonia. Hypertonia can be caused by neuronal (i.e. spasticity) and non-neuronal (i.e. change in muscle properties) problems. These two causes respond to different type of treatments (pharmacological or physical interventions respectively) but they normally co-exist making it difficult to differentiate between them.
    In practice, spasticity is normally grade using ordinal scales such as the Ashworth or Tardieu scales. The scales are highly accepted clinically, but some lack the ability to differentiate between neuronal and non-neural components. These methods grade the “feeling” of spasticity and have poor inter-examiner reliability. There are biomechanical measurements to assess spasticity, but they are normally time consuming and required expensive equipment making them not suitable for clinical practice.
    Therefore, it is deeply important for clinicians to have the proper training to be able to assess spasticity. The best way to acquire this knowledge and experience is through practical training. Hands-on training using service users is burdensome and logistically challenging. Hence this project proposes the development of a model for a prototype robotic leg which simulates the behaviour of a limb affected by spasticity.
    A simulation of spasticity must be based on empirical data to ensure reliability and validity. Therefore, we aim to get the involvement of patients with neurological conditions such as Multiple Sclerosis, Hereditary Spastic Paraplegia, and stroke with a 1 or more score on the Ashworth Scale. The final product of the project aims to be a mechanical leg that students can use to have a more hands-on practice on the “feeling” of spasticity.

  • REC name

    London - Surrey Research Ethics Committee

  • REC reference

    24/LO/0425

  • Date of REC Opinion

    27 Jun 2024

  • REC opinion

    Further Information Favourable Opinion