Handbook home
Movement Neurorehabilitation Technology (BMEN90034)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
| Availability(Quotas apply) | Summer Term |
|---|---|
| Fees | Look up fees |
This subject aims to provide Master of Engineering students with broad based fundamental concepts of the neuroscience of human movements, the impact of injuries on movement capabilities and the current state of the arts of health care delivery to human movement impairments. It also aims to challenge the students to draw from their engineering training to address the interdisciplinary problem. The subject therefore seeks to bridge the gap between engineering and the neuroscience of human movement impairments. It also trains the students in the critical thinking in assessing the research literature.
This subject will be jointly taught by instructors from the clinical sciences and engineering. The indicative content includes
- A systems overview of the central nervous system (CNS), with a focus on its ability to elicit motor function
- An system analysis approach of the impact that common impairments of the CNS (including acquired and traumatic brain injuries, cerebral palsy and spinal cord injury) has on this system
- A review of current clinical practices used to address these impairments, including treatment and assessment
- The state of the art assistive and rehabilitative technologies currently used within clinical practice
- An engineering analysis and design exercise to investigate novel methods for exploring, identifying, quantifying or treating neurological movement impairment using technologies.
The focus of the generation of movement brings narrows the technological scopes to the area of movement sensing, corresponding biosignal sensing and processing (EMG, EEG), assistive and rehabilitation devices and robotics, physical human-robot interaction and wearable robotics
Intended learning outcomes
Having completed this subject, students will be expected to:
- Possess robust knowledge of the systematic neuroscience of human movements generation and the mechanisms of movement impairment
- Demonstrate the mastery in the critical analysis the research literature to form an accurate description of the state of the art of the field
- Demonstrate well developed understanding of the current clinical practices covered in the subject, including a critical understanding of the current clinical measures, its strengths and shortcomings and the ability to use engineering thinking to discern the information provided by the measures
- Possess well developed skills to formulate hypotheses and design the validation testing protocol.
- Be proficient in problem solving and engineering design skills to construct conceptual solutions to the current clinical challenges covered in the subject.
- Be proficient in scientific communication in an interdisciplinary field
Generic skills
- Capacity for independent thought.
- Ability to apply knowledge of engineering science and engineering methods to solve complex problems.
- Ability to comprehend complex concepts and effectively communicate this understanding.
- Ability to plan work and to use time effectively.
- Proficiency in engineering design
- Ability to conduct an engineering project.
- Ability to function effectively as an individual and in multidisciplinary teams.
Last updated: 3 November 2022