Biosignal Processing (BMEN90035)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
This subject teaches the fundamentals of signal processing in a biomedical engineering context. Students will be introduced to digital sampling of analog signals, frequency domain analysis, design of digital filters, parameter estimation techniques and Wiener and Kalman filtering. The subject includes analysis and design for biomedical engineering applications.
Intended learning outcomes
On completion of this subject, students should be able to:
- Design and evaluate digital sampling and filtering systems.
- Apply frequency-domain techniques in the analysis and design of signal processing systems.
- Design, implement and analyse algorithms for solving estimation problems.
- Analyse and design software for signal processing systems, focussing on signals relevant to biomedical engineering problems and applications.
Generic skills
- Ability to communicate effectively, with the engineering team and with the community at large
- Ability to manage information and documentation
- Understanding of professional and ethical responsibilities, and commitment to them
- Ability to function effectively as an individual and in multidisciplinary and multicultural teams, as a team leader or manager as well as an effective team member
- Ability to undertake problem identification, formulation and solution
- Ability to utilise a systems approach to design and operational performance
- Understanding of the principles of sustainable design and development
- Capacity for independent critical thought, rational inquiry and self-directed learning
Last updated: 4 March 2025
Eligibility and requirements
Prerequisites
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| BMEN30006 | Circuits and Systems | Semester 1 (On Campus - Parkville) |
12.5 |
OR
Equivalent
Corequisites
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ELEN90052 | Advanced Signal Processing | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90058 | Signal Processing | Semester 2 (On Campus - Parkville) |
12.5 |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 4 March 2025
Assessment
| Description | Timing | Percentage |
|---|---|---|
Workshop Reports (6 x 4-page reports). Intended Learning Outcomes (ILOs) 1-4 are addressed in this assessment.
| From Week 2 to Week 12 | 50% |
Mid Semester Test. Intended Learning Outcomes (ILOs) 1-4 are addressed in this assessment.
| Week 7 | 10% |
Final Exam. Intended Learning Outcomes (ILOs) 1-4 are addressed in this assessment.
| During the examination period | 40% |
Last updated: 4 March 2025
Dates & times
- Semester 2
Principal coordinator Hamish Meffin Mode of delivery On Campus (Parkville) Contact hours 3 x 1 hour lectures per week for 12 weeks, 1 x 2 hour computer-based workshop per week for 11 weeks Total time commitment 200 hours Teaching period 28 July 2025 to 26 October 2025 Last self-enrol date 8 August 2025 Census date 1 September 2025 Last date to withdraw without fail 26 September 2025 Assessment period ends 21 November 2025 Semester 2 contact information
Dr Hamish Meffin
Email: hmeffin@unimelb.edu.au
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 4 March 2025
Further information
- Texts
- Subject notes
LEARNING AND TEACHING METHODS
The subject is delivered through a combination of weekly lectures, in-lecture class exercises and workshops.
INDICATIVE KEY LEARNING RESOURCES
Students have online access to lecture slides, lecture recordings and workshops with appropriate solutions through the subject LMS site. Matlab code demonstrating the application of the theory in lectures is provided as Class Exercises available for download. Questions sheets to develop mathematical familiarity and competance with the theory are also provided, togther with solutions.
CAREERS / INDUSTRY LINKS
This subject develops the fundamental theory and application of signal processing to biomedical engineering and does nto have direct industry links. - Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Biomedical Engineering Course Master of Engineering Specialisation (formal) Biomedical with Business Specialisation (formal) Biomedical - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
Last updated: 4 March 2025