HUMAN MOVEMENT AND REHABILITATION - 2023/4

Module Overview

The module provides students with up-to-date knowledge on the assessment of human movement with a focus on clinical gait analysis. It includes an in-depth evaluation of state-of-the-art measurement and analysis tools currently used in gait and performance management.

Module provider

Mechanical Engineering Sciences

Module Leader

OLDFIELD Matthew (Mech Eng Sci)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

• Motor control and development of human movement skills.


• Gait analysis; a brief review of the gait cycle including the determinants of gait; the main classes of measurement (e.g. spatial and temporal, kinematic, kinetic and neurophysiology).


• Technical descriptions and review of tools used in movement analysis, for example: body-worn inertial sensors, force plates and platforms, goniometry, observational gait tools, passive/active marker detection, plantar pressure systems, in-vivo force transducers and EMG.


• Foundations of three-dimensional gait analysis and their practical implications.


• Gait patterns associated with pathology and the underpinning biomechanics principles of movement compensation. 


• Upper limb movement and its kinematic analysis.


• Related topics such as methods used in sports performance analysis and injury prevention strategies.


• Practical laboratory-based 3D gait measurement, using state of the art motion capture and kinetic measurement systems. 


• First-hand analysis of experimental 3D data sets. This includes training in gait analysis software and its application to movement coordination.

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate:

• An understanding of the methods used in analysing movement analysis and the limitations of measurement and analysis technique. 


• Their ability to apply their understanding of movement analysis techniques through capturing, processing and analysing movement data; and to present their findings in a clear and coherent manner. 


• An understanding and ability to apply concepts covered during the course to clinical and/or human performance scenarios. 

Module aims

• An understanding of the basis of human movement, functional ability and the limitations inherent in current databases.
• An understanding of the scope and limitations of current methods used to measure and analyse human movement
• The skills required to be able to critically evaluate and appropriately interpret movement data in light of the limitations of the methods and relevance to the application.
• The acquisition of first-hand practical skills in collecting, measuring and analysing movement using state of the art equipment and associated software.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

• Provide students with knowledge of the fundamental concepts involved in analysing movement and their application.


• Provide students with hands-on experience in collecting, processing and analysing movement data.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENGM260

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.