HUMAN MOVEMENT & REHABILITATION - 2022/3

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

Module Leader

CIZMIC Harri (Biosciences)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 6

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

Module Availability

Semester 2

Prerequisites / Co-requisites

BMS2065 Sport and Exercise Biomechanics

Module content

Indicative content includes:

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  Motor control and development of human movement skills
  


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  Understanding fundamental movement patterns and their relevance to injury, sports performance and pathology
  


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  Descriptions and review of subjective tools used to screen movement patterns and sports specific movement attributes; Functional Movement Screen, Y-Balance, Fundamental Capacity Screen
  


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  Gait analysis; determinants of gait, the gait cycle, the main classes of measurement (spatial and temporal, kinetic, kinematic)
  

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  Review of objective tools used in movement analysis: 3D motion capture marker based systems, force plates and EMG
  


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  Understanding the role new technology could play to enhance human movement assessment and intervention adherence in applied settings
  

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  Discuss the use of 2D video analysis for the evaluation of sports technique and human movement
  

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  Correcting movement compensation, dysfunction and asymmetry through exercise prescription and ongoing assessment
  


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  Understanding where human movement assessment fits within applied settings as part of a holistic injury prevention strategy
  

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

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

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  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
  


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  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
  
   
  

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  Literature review [Learning outcomes 1,3,4,6,7] – 2000 words
  


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  Case study assessment [Learning outcomes 1,2,5,8] – 1000 words and 2 programme cards
  

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

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

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  Provide students with knowledge of the fundamental concepts involved in analysing movement and their application in sports performance and rehabilitation scenarios
  


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  Provide the students with hand-on experience in collecting and analysing movement analysis data.
  
   
  

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  10 x lectures (each between 1 & 3 hours long inc group work breakouts)
  


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  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

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 2022/3 academic year.