HUMAN MOVEMENT AND REHABILITATION

Description

Through this module, students will develop an advanced understanding of human movement, biomechanics and their real-world significance. Students will focus on aspects not previously covered on the programme and develop important practical skills. Students will broaden and deepen their knowledge of movement analysis in lectures and tutorial sessions that focus on the state-of-the-art. Practical data acquisition in the laboratory will require students to take ownership of the whole workflow in collecting/analysing biomechanics data that will feed into a single coursework assignment. Students will work together to collect movement data using a clinically derived approach. Using industrially relevant software, students have the opportunity to process and analyse captured data and link this to the concepts that have been delivered in lectures and tutorial sessions. State-of-the art equipment will also be used to allow students to explore approaches that are more common for research and developing applications of biomechanics. 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. Provide an understanding of the basis of human movement and functional ability. Provide an understanding of the scope and limitations of current methods used to measure and analyse human movement. Grow the skills required to evaluate and interpret movement data based on the methods used and intended applications. Develop the acquisition of first-hand practical skills in collecting, measuring and analysing movement using state of the art equipment and associated software. Attributes Developed Ref 001 Demonstrate a breadth of knowledge of the issues underpinning human movement analysis and their real-world relevance. K M1, M5, M8, M11 002 Reflect on and critically evaluate the measurement and analysis tools used in movement analysis and their appropriateness for different applications. CP M3, M13 004 Demonstrate practical skills in gait analysis. P M12, M18 005 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. KCP M1, M2, M3, M5, M12, M13, M17 003 Independently continue to advance knowledge of the subject from the body of literature in order to tackle new and emerging problems. CT M4