ENGR 7023 Advanced Biomedical Data and Images

Credit Points 10

Legacy Code 301211

Coordinator Upul Gunawardana Opens in new window

Description This subject will cover advanced biomedical signal and data analysis including electrocardiography, electroencephalography, human-computer-interface, electromyography, machine learning and biomedical images. This subject will have a strong practical design focus with laboratories and tutorials focused on the design of usable software packages dealing with real biomedical signals.

School Eng, Design & Built Env

Discipline Biomedical Engineering

Student Contribution Band HECS Band 2 10cp

Check your fees via the Fees page.

Level Postgraduate Coursework Level 7 subject


Students must be enrolled in a postgraduate program

Assumed Knowledge

Signals theory; computer skills including use of MATLAB.

Learning Outcomes

On successful completion of this subject, students should be able to:

  1. Process biomedical signals.
  2. Write user-interface to automatically/aid expert scoring signals.
  3. Analyse and process biomedical images.
  4. Develop complex signal manipulation strategies.

Subject Content

Introduction to Biomedical Signals
Digital filters for Biomedical Signals
Automated scoring of Biomedical Signals
Biomedical images: production and processing
Advanced techniques for data manipulations


The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.

Type Length Percent Threshold Individual/Group Task
Professional Task Three submissions required (see schedule of activities for due dates) 80 N Individual
Presentation 15 minutes 20 N Individual

Prescribed Texts

  • Semmlow, JL 2004, Biosignal and biomedical image processing MATLAB-based applications, Marcel Dekker, New York.