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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

BMET2922: Computational Analysis for Biomedical Signals

Biomedical engineering is being deeply reshaped by the advancements in computational tools and the utilisation of rich data. This unit will explore the processes involved in designing and building systems to perform computational analysis on biological signals, using microcontrollers and desktop or server computing. The main teaching activities will focus on the theory and practical skills for data capture, cleaning, communication, storage, and analytics. The purpose is to ensure that students develop the skills necessary to design systems that can be used for monitoring of patients, where the data can be used for analytics, e.g. prediction of an adverse event. This is relevant to a number of applications in modern healthcare such as continuous and remote monitoring devices. The unit will develop core skills in programming, solution design, sensor interfacing, and data analysis.

Code BMET2922
Academic unit Biomedical Engineering
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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BMET9922
Assumed knowledge:
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Knowledge of basic biomedical engineering principles (BMET1960) and basic programming (ENGG1801 or ENGG1810 or INFO1110).

At the completion of this unit, you should be able to:

  • LO1. Understand and communicate the principles of operation of computational systems in a biomedical device context.
  • LO2. Produce a design plan for capturing and analysing biomedical signals
  • LO3. Program solutions for biomedical signal processing tasks using existing software packages and libraries.
  • LO4. Integrate bio-electronic sensors with micro-controllers to capture biological signals
  • LO5. Apply computational tools to capture, store, transmit, analyse, and display biomedical signal data
  • LO6. Work together in small groups to carry out a prescribed engineering design task and present the outcomes in an oral, written or video format
  • LO7. Apply engineering principles to answer questions relating to biomedical software systems in a quiz format.
  • LO8. Apply engineering principles to answer questions relating to biomedical software systems in an exam format.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.