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.
Unit details and rules
Academic unit | Biomedical Engineering |
---|---|
Credit points | 6 |
Prerequisites
?
|
None |
Corequisites
?
|
None |
Prohibitions
?
|
BMET9922 |
Assumed knowledge
?
|
Knowledge of basic biomedical engineering principles (BMET1960) and basic programming (ENGG1801 or ENGG1810 or INFO1110) |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Omid Kavehei, omid.kavehei@sydney.edu.au |
---|---|
Demonstrator(s) | Daniel Babekuhl, daniel.babekuhl@sydney.edu.au |
Lecturer(s) | Young No, young.no@sydney.edu.au |