Note: This unit version is currently under review and is subject to change!

ELEC3803: Bioelectronics (2016 - Semester 2)

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Unit: ELEC3803: Bioelectronics (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Senior
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr McEwan, Alistair
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: ELEC2104 AND ELEC2602. Familiarity with transistor operations, basic electrical circuits, embedded programming is required.
Brief Handbook Description: This unit will cover recent advances in bioelectronics circuits and systems including electronic medical devices, implanted devices, lab on a chip devices, biomedical signal processing and neuromorphic engineering. Regulatory aspects of bioelectronic system design will be addressed including the IEC standards and TGA approval processes. The unit will have a strong practical design focus with laboratories focused on dealing with real life bioelectronic signals and subject-device interfaces. Industry, clinical and research guest lecturers will introduce current topics and design needs.
Assumed Knowledge: None.
Timetable: ELEC3803 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 12
2 Laboratory 2.00 1 6
3 Tutorial 2.00 1 6
4 Independent Study 6.00 1 12
T&L Activities: This unit will encourage deep learning through extensive Conceive-Design-Implement-Operate based laboratory and group tutorials. Continuous feedback will be provided in lectures and through assessment.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Students will understand how to design a physiological monitor. Design (Level 3)
Students will be able to critically evaluate different biosignal processing methods to remove artefacts, interference and extract features. Engineering/IT Specialisation (Level 3)
Students will be able to model and understand sources of noise and interference in the human environment. Maths/Science Methods and Tools (Level 2)
Students will be able to understand the literature in biomedical electronics and medical devices. Information Seeking (Level 3)
Students will further develop their communication skills through the assignment. Communication (Level 3)
Students will learn how ethical and economic issues affect medical device designs. Professional Conduct (Level 2)
Students will be given the opportunity to work in teams through assignments and deal with project managements issues of completing a design exercise. Project and Team Skills (Level 2)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design (Level 3)
1. Students will be required to understand different physiological monitors. They will be required to develop the skills needed to construct, simulate and test their own designs.
Engineering/IT Specialisation (Level 3)
2. Students will need to develop skills required to consider different design choices.
Maths/Science Methods and Tools (Level 2)
3. Analytic skills for comparing design choices will be developed.
Information Seeking (Level 3)
4. Students will develop skills of collecting information from different sources and critically evaluating them.
Communication (Level 3)
5. Students will develop written communications skills through their tutorials and assignment.
Professional Conduct (Level 2)
6. Students will be asked to reflect on social, management and business issues concerning this field.
Project and Team Skills (Level 2)
7. Students will tackle a design project in teams, gaining project management skills in the process.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Final Exam Yes 60.00 Exam Period 1, 2, 3, 4, 6,
2 Lab Report Yes 40.00 Week 13 1, 2, 3, 4, 5, 6, 7,
Assessment Description: Tutorials: Cover basic theory for course.

Laboratory: Concieve, Design, Implement then Operate a biomedical signal acquisition and processing system on real subjects. Assessment will be continuous.

Final Exam: 2 hour closed book.

There may be statistically defensible moderation when combining the marks from each component to ensure consistency of marking between

markers, and alignment of final grades with unit outcomes.

You must get 50% in the final exam to pass the unit, regardless of the sum of your individual marks.

The penalty for lateness is 10% per day.
Assessment Feedback: Feedback through lectures tutorial marking, discussion and laboratory assessment.
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar

Week Description
Week 1 Introduction to bioelectronics
Week 2 Review of foundations: device physics, noise and control in electronics and biological systems.
Week 3 Ethics in medical devices and biomedical engineering
Week 4 Regulation and economics of bioelectronic device design.
Week 5 Biomedical signal processing
Week 6 Physiological monitoring
Week 7 Electronics in medical imaging
Week 8 Ultra-low-power biomedical electronics
Week 9 Bio-inspired systems and neuromorphic engineering
Week 10 Implanted devices. Case study: The cochlea implant (guest lecture)
Week 11 Wearable electronics and home monitoring: sleep monitors (guest lecture)
Week 12 Biosensors and lab on a chip
Week 13 Outstanding areas of clinical need
Assessment Due: Lab Report
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Biomedical - Electrical Major 2013, 2014
Electrical (Bioelectronics) (till 2012) 2011, 2012
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Commerce 2011, 2012
Electrical Engineering (Bioelectronics) / Medical Science 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2011, 2012
Biomedical - Electrical Major 2015
Biomedical Engineering / Law 2013, 2014
Biomedical Engineering / Arts 2013, 2014
Biomedical Engineering / Commerce 2013, 2014
Biomedical Engineering / Medical Science 2013, 2014
Biomedical Engineering / Project Management 2013, 2014
Biomedical Engineering / Science 2013, 2014
Biomedical - Chemical and Biomolecular Major 2013, 2014, 2015
Biomedical - Information Technology Major 2013, 2014, 2015
Biomedical - Mechanical Major 2013, 2014, 2015
Biomedical - Mechatronics Major 2013, 2014, 2015
Electrical (till 2014) 2011, 2012, 2013, 2014
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Project Management 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical (Computer) (till 2014) 2014
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical (Power) (till 2014) 2014
Electrical Engineering (Power) / Project Management 2012, 2013, 2014
Electrical (Telecommunications) (till 2014) 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Biomedical Mid-Year 2016, 2017
Biomedical 2016, 2017
Biomedical / Arts 2015, 2016, 2017
Biomedical / Commerce 2015, 2016, 2017
Biomedical / Medical Science 2015, 2016, 2017
Biomedical / Music Studies 2016, 2017
Biomedical / Project Management 2015, 2016, 2017
Biomedical /Science 2015, 2016, 2017
Biomedical / Law 2015, 2016, 2017
Electrical Mid-Year 2016, 2017
Electrical 2015, 2016, 2017
Electrical / Arts 2016, 2017
Electrical / Commerce 2016, 2017
Electrical / Medical Science 2016, 2017
Electrical / Music Studies 2016, 2017
Electrical / Project Management 2016, 2017
Electrical / Science 2016, 2017
Electrical (Computer) 2015
Electrical / Law 2016, 2017
Electrical (Power) 2015
Electrical (Telecommunications) 2015
Software Mid-Year 2016, 2017
Software 2015, 2016, 2017
Software / Arts 2016, 2017
Software / Commerce 2016, 2017
Software / Medical Science 2016, 2017
Software / Music Studies 2016, 2017
Software / Project Management 2016, 2017
Software / Science 2016, 2017
Software / Law 2016, 2017
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design (Level 3) Yes 26%
Engineering/IT Specialisation (Level 3) Yes 16%
Maths/Science Methods and Tools (Level 2) Yes 16%
Information Seeking (Level 3) Yes 10%
Communication (Level 3) Yes 4%
Professional Conduct (Level 2) Yes 16%
Project and Team Skills (Level 2) Yes 12%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.