Overview

Students will gain an understanding and appreciation of a range of medical technologies and their applications by studying the principles of measurement science, data acquisition and analysis for the biomedical sciences

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:

  1. Describe the components and operating principles of biomedical signals
  2. Apply scientific and quantitative approaches to biomedical signal measurement and data acquisition
  3. Understand the foundations for analysing physiological signals using biomedical instrumentation
  4. Identify and quantify key features in signals of diagnostic and biological importance
  5. Plan and use software for data acquisition and analysis of biomedical signals

Teaching methods

Hawthorn

Activity Type Activity Total Hours Number of Weeks Hours Per Week
Online Lecture 18 12 weeks 1.5
On-campus Lab 12 6 weeks 2
Live Online Lecture 6 6 weeks 1
Specified Activities Various 34 12 weeks 2.83
Unspecified Activities Independent Learning 80 12 weeks 6.67
Total Hours: 150 Total Hours (per week): 14

Assessment

Type Task Weighting ULO's
Case Study Individual  20%  1,2,3,5 
Laboratory Log Individual  40%  2,3,4,5 
Final-Semester Test Individual  40%  1,3,4

Content

  • Fundamentals of biomedical instrumentation
  • Biophysical origin of electrophysiological signals
  • General signal properties: stationarity, ergodicity, noise
  • Signal analysis and interpreting changes
  • Telemedicine and remote monitoring
  • Graduate Attribute – Communication 1 - Verbal Communication 
  • Graduate Attribute – Communication 2 - Communicating using different media 
  • Graduate Attribute – Digital Literacies 1 - Information literacy 
  • Graduate Attribute – Digital Literacies 2 – Technical literacy

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.