TRC4100 Bio-interfacing devices
Faculty of Engineering
TRC4100 Bio-interfacing devices is a level 4, 6-credit-point, undergraduate unit from the Faculty of Engineering. It isn't offered in 2020. It needs MEC2407 or ECE2071.
- Credit points
- 6
- Offered in 2020
- Not offered
This is the 2020 handbook entry. See the 2021 entry.
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Requisites
Before TRC4100
Prerequisites
Pass these before you enrol.
After TRC4100
No unit lists TRC4100 as a prerequisite in the 2020 handbook.
Enrolment rules
Prerequisites: Or TRC2400
Prerequisites: You must also have completed 96 credit points in engineering study, which includes all first-level units.
Overview
Studies from earlier stages of the course are integrated in such a way that you will gain knowledge and skills in the development of movement analysis system. Fundamental devices of bio-electronic devices and phases involved in product development are covered. Bioinstrumentation for measurements of key parameters involved in the use of bio-interfacing devices is addressed based on virtual technologies. Basic elements required for bio-interfacing devices in movement analysis, sensors and vision are considered. In order to download acquired data/signals from sensors and vision, specific Data Acquisition (DAQ) methods will be analysed and tested. You will be taught synchronisation of signals and data as the critical issue. Based on synchronized data signals, movement model reconstruction will be essential in order to understand the motion. Finally, motion regeneration will be created based on the movement data measured and preprocessed.
Offerings in 2020
The 2020 handbook lists no offerings for TRC4100.
Learning outcomes
When you finish this unit, you should be able to:
- 1
develop prototypes of real time systems for movement analysis
- 2
utilise bio-interfacing devices, bio-instrumentation and virtual technologies
- 3
incorporate varieties of wired and wireless sensors and different vision technologies, video and optical as fundamental elements for movement analysis
- 4
construct bio-interfacing devices using the integration of DAQ modules together with virtual technologies as measurement tools
- 5
extract preproprocessed data and signals using interactive Graphical User Interfacing (IGUI) programming to reconstruct movement models
- 6
understand the key features and phases involved in motion regeneeration development, testing and simulation in order to represent accurate movement in soft-real time
Workload and teaching
2 hours lectures, 3 hours laboratory, 1 hour practicals and 6 hours of private study per week.
Contacts
- Chief Examiners
- Professor Tom Drummond
- Unit Coordinators
- Dr Ahmet Sekercioglu
Common questions
More details
- Credit points
- 6
- Level
- 4
- Study level
- Undergraduate
- Faculty
- Faculty of Engineering
- Organisational unit
- Department of Electrical and Computer Systems Engineering
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Not available
- Handbook years
- 20202021