HUMAN MOVEMENT & REHABILITATION - 2020/1
Module code: BMS3087
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 provider
School of Biosciences and Medicine
Module Leader
SENINGTON Billy (Biosc & Med)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 6
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 110
Lecture Hours: 22
Laboratory Hours: 18
Module Availability
Semester 2
Prerequisites / Co-requisites
BMS2065 Sport and Exercise Biomechanics
Module content
Indicative content includes:
Motor control and development of human movement skills
Understanding fundamental movement patterns and their relevance to injury, sports performance and pathology
Descriptions and review of subjective tools used to screen movement patterns and sports specific movement attributes; Functional Movement Screen, Y-Balance, Fundamental Capacity Screen
Gait analysis; determinants of gait, the gait cycle, the main classes of measurement (spatial and temporal, kinetic, kinematic)
Review of objective tools used in movement analysis: 3D motion capture marker based systems, force plates and EMG
Understanding the role new technology could play to enhance human movement assessment and intervention adherence in applied settings
Discuss the use of 2D video analysis for the evaluation of sports technique and human movement
Correcting movement compensation, dysfunction and asymmetry through exercise prescription and ongoing assessment
Understanding where human movement assessment fits within applied settings as part of a holistic injury prevention strategy
Assessment pattern
Assessment type | Unit of assessment | Weighting |
---|---|---|
Coursework | LITERATURE REVIEW (2000 WORDS) | 50 |
Coursework | CASE STUDY ASSESSMENT (1000 WORDS AND 2 PROGRAMME CARDS) | 50 |
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 techniques, and how these can be integrated into applied settings– coursework
their ability to apply their understanding of movement analysis techniques to complete a human movement assessment in a safe and efficient manner, and interpret their findings to develop a suitable and realistic rehabilitation programme – practical and case study
Thus, the summative assessment for this module consists of:
Literature review [Learning outcomes 1,3,4,6,7] – 2000 words
Case study assessment [Learning outcomes 1,2,5,8] – 1000 words and 2 programme cards
Formative assessment and feedback
Formative feedback will be provided in interactive laboratory sessions and in written format for the coursework submission.
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 | ||
001 | Demonstrate breadth of knowledge of the issues underpinning movement screening, gait and human movement analysis and its relevance to sports performance | K |
002 | Demonstrate ability to identify and integrate biomechanics concepts and fundamentals to interpret data relevant to 2D video analysis of sports technique | C |
003 | Reflect on and critically evaluate the tools used in the measurement and analysis tools in movement analysis and their appropriateness for different applications | CP |
004 | Identify technical and practical challenges and their subsequent effect on developments in the field. | CP |
005 | Demonstrate basic practical skills in movement screening and gait analysis techniques | P |
006 | Independently continue to advance their knowledge of the subject from the body of literature in order to tackle new and emerging problems. | CT |
007 | Recognise the scope of the methods used in movement analysis beyond traditional tools and methods e.g. depth cameras and wearable devices | K |
008 | Demonstrate comprehensive understanding of movement asymmetry, compensation and dysfunction and their relevance to corrective exercise programming and rehabilitation | KP |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
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 sports performance and rehabilitation scenarios
Provide the students with hand-on experience in collecting and analysing movement analysis data.
The learning and teaching methods include:
10 x lectures (each between 1 & 3 hours long inc group work breakouts)
13 hours of laboratory sessions
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: BMS3087
Programmes this module appears in
Programme | Semester | Classification | Qualifying conditions |
---|---|---|---|
Sport and Exercise Science BSc (Hons) | 2 | Optional | A weighted aggregate mark of 40% 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 2020/1 academic year.