Module code: ENGM260

Module provider

Mechanical Engineering Sciences

Module Leader

CIROVIC S Dr (Mech Eng Sci)

Number of Credits


ECTS Credits



FHEQ Level 7

JACs code


Module cap (Maximum number of students)


Module Availability

Semester 2

Overall student workload

Independent Study Hours: 110

Lecture Hours: 22

Laboratory Hours: 18

Assessment pattern

Assessment type Unit of assessment Weighting
Examination EXAM 2 HOURS 60

Alternative Assessment


Prerequisites / Co-requisites

Normal entry requirements for the Biomedical Engineering MSc degree programme.

Module overview

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

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.

Learning outcomes

Attributes Developed
1 Demonstrate breadth of knowledge of the issues underpinning gait and human movement analysis and its relevance to the clinic (Q1) (SM1m) K
2 Demonstrate ability to identify and integrate relevant biomechanics concepts and fundamentals of human biology to interpret data relevant to human movement analysis (Q1) (SM3m) C
3 Demonstrate comprehensive understanding of orthotic devices and other rehabilitation techniques and their application in clinical rehabilitation (Q2) (SM1m) KP
4 Reflect on and critically evaluate the tools used in the measurement and analysis tools in movement analysis and their appropriateness for different applications – (Q2) (SM2m, EA3m) CP
5 Demonstrate basic practical skills in anthropometry and clinical examination techniques. (Q3) (P3) P
6 Identify technical and practical challenges and their subsequent effect on developments in the field. (Q4) (EA3m, EA5m, EA6m, EL1m, P8m) CP
7 Deal with complex issues related to human movement and make sound conclusions based on a complete movement data set and an appreciation of the limitations of current tools. (Q5) (SM6m, EA6m) KCP
8 Independently continue to advance their knowledge of the subject from the body of literature in order to tackle new and emerging problems. (EA5m, P9m) CT
9 Recognise the scope of the methods used in movement analysis beyond traditional applications in gait analysis e.g. in sports and animation. (Q10) (SM6m, EA6m) K

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Module content

Indicative content includes:

Motor control and development of human movement skills
Gait analysis; determinants of gait, the gait cycle, the main classes of measurement (spatial and temporal, kinetic, kinematic, EMG and energy expenditure)
Approach and developments of movement analysis of the upper-limb: shoulder, elbow, wrist and spine
Technical descriptions and review of tools used in movement analysis: body worn inertial sensors, oxygen consumption, force plates and platforms, goniometry, observational gait tools, passive/active marker detection, plantar pressure systems, EMG and in-vivo force transducers.
Methods used in sports performance analysis and injury prevention strategies.
Traditional anthropometric measurement techniques, concepts of ‘average’ or representative size.
Gait patterns associated with pathology and the underpinning biomechanics principles of movement compensation.
 Orthotic devices and other rehabilitation techniques used to correct abnormal movement patterns.

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 in rehabilitation scenarios, principally through lectures
Provide the students with hand-on experience in collecting and analysing movement analysis data, through laboratory sessions.

The learning and teaching methods include:

11 x 2 hours of lectures
18 hours of laboratory sessions


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 – examination

·        their ability apply their understanding of movement analysis techniques to process and analyse raw movement data and to present their findings in a clear and coherent manner – coursework

Thus, the summative assessment for this module consists of:

·        Examination [Learning outcomes 1,2,3,4,7,8 ]

·        Coursework [Learning outcomes 4,5,6]

Formative assessment and feedback

Formative feedback will be provided in interactive laboratory sessions and in written format for the coursework submission. 

Reading list


Programmes this module appears in

Programme Semester Classification Qualifying conditions
Biomedical Engineering MEng 2 Optional A weighted aggregate mark of 50% is required to pass the module
Biomedical Engineering MSc 2 Optional A weighted aggregate mark of 50% is required to pass the module
Biomedical Engineering MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module

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 2017/8 academic year.