¹û¶³Ó°Ôº

XClose

¹û¶³Ó°Ôº Module Catalogue

Home
Menu

Assistive Technology Devices and Rehabilitation Robotics (SURG0092)

Key information

Faculty
Faculty of Medical Sciences
Teaching department
Division of Surgery and Interventional Science
Credit value
15
Restrictions
This module is a core module for some students, so they will be given priority. Students need a basic engineering background. If chosen as an elective or optional module, enrolment will be at the discretion of the module lead, subject to student profile, capacity limits etc.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module introduces existing assistive technologies and then moves on to explore how robotics can help in various rehabilitation therapies. Students will become sensitive to the needs of people with a wide range of functional impairments and will understand the trade-offs and selection criteria to choose appropriate assistive technologies, which fulfil the needs of individuals with different and complex disabilities, such as spinal cord injuries, motor neuron disease and stroke. The module will cover the underlying theory, technology and operating paradigms of key assistive technologies and state-of-the-art robotic rehabilitation systems.

This module is intended to deepen knowledge and understanding of the role that robotics plays in assistive technologies and rehabilitation paradigms. Consequently, on completion of the module the successful student will be able to:

  • Describe typical functional impairments and select appropriate assistive technologies to compensate for them
  • Describe the theory, technology and operating paradigms of mainstream assistive technologies
  • Appreciate the different roles played by end users, service providers, insurance companies, the health service and care givers in the context of assistive technology
  • Describe the underlying principles of robotics in rehabilitation therapies
  • Give examples of different rehabilitation robots, their concepts and operating principles

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Coursework
10% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
14
Module leader
Dr Hubin Zhao
Who to contact for more information
reat-msc@ucl.ac.uk

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Coursework
10% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
8
Module leader
Dr Hubin Zhao
Who to contact for more information
reat-msc@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

Ìý