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Unit of study_
BMET3997: Biological Digital Signal Analysis
2025 unit information
This course will equip students with the skills to extract or reveal useful information from biomedical sensor systems and use this information to design automated processing systems using signal processing. The student will gain a set of mathematical tools that will enable a deeper understanding of how biomedical devices and physiological systems work. The unit has a strong practical focus
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Undergraduate |
|---|---|
| Academic unit | Biomedical Engineering |
| Credit points | 6 |
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Prerequisites:
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(ENGG1810 or INFO1110 or INFO1910) and BMET2922 |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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BMET9997 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Demonstrate understanding on how the interdisciplinary approach from engineering, biology and medical viewpoints can be combined into sensor and signal processing applications to improve outcomes in healthcare.
- LO2. Write reports to communicate technical and often complex material in clear and concise terms for a specific target audience.
- LO3. Demonstrate understanding of how sensor and signal processing tools can be used to address important problems in healthcare and biology.
- LO4. Be able to select appropriate combinations of signal processing methods on biological signals to achieve required outcomes
- LO5. Be able to explain what physiological signals are and how they are measured, and demonstrate proficiency in using state-of-the-art tools and methods to analyse sensing data.
- LO6. Present written reports and make presentations to communicate technical and often complex material in clear and concise terms for a specific target audience.
Unit availability
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Modes of attendance (MoA)
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