University of Technology Sydney

43022 Advanced Biomedical Engineering Studio B

12cp; 8hpw, on campus, weekly
Requisite(s): (41162 Fundamentals of Biomedical Engineering Studio A AND 41163 Fundamentals of Biomedical Engineering Studio B AND (49261 Biomedical Instrumentation OR 42001 Bioinformatics))

Undergraduate

Description

This advanced studio subject introduces students to emerging areas of clinical biomedical engineering research. Students select one studio project from the following three research project streams i) PCR devices for cancer diagnosis, ii) Rapid diagnostic lateral flow assay and iii) Electroencephalography classification using artificial intelligence. Students work in teams to deliver a professional solution at the end of semester.

In the first topic, students explore molecular PCR, which is a standard diagnostic method in all pathology and hospital labs. Student teams are trained in clinical cancer assays and have the opportunity to build their own point of care device known as a PCR machine. Students develop skills in diagnostic assay development, CAD and prototyping of a medical device, parts integration, 3D printing and Arduino programming.

In the second topic, students learn how to about fabrication and have the opportunity to build their own rapid diagnostic lateral flow assay (LFA), which is the same technology as the COVID-19 rapid antigen test (RAT). Students develop comprehensive skills including nanoparticle conjugation, LFA fabrication, 3D printing and laser cutting.

The third topic introduces Electroencephalography (EEG) classification using artificial intelligence. Motor imagery technology allows people to use their brains to control machines, which is convenient for people with movement technology allows people to use their brains to control machines, which is convenient for people with movement disorders. Students learn to extract features from EEG signals and build an effective classifier to recognize the imaginary actions based on the features. Students are trained in EEG data collection, signal processing, feature extraction and classifier design. The system can be used to classify basic instructions, including left-hand imagination movement, right-hand imagination movement and tongue imagination movement.

At the completion of this subject, students have developed skills in project design, problem solving, stakeholder analysis and acquired various technical skills associated with emerging biomedical engineering areas.

Typical availability

Spring session, City campus


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.