Course coordinator
Dr Jari Torniainen
Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Elec Engineering & Comp Science School
Measurement of biological signals from transducers, signal conditioning, display and analysis. Practical work based on design, construction and validation of simple clinical measurement devices.
Biomedical Instrumentation introduces the theory and practice of common electronic circuits employed in medical devices. Origins of signals and fundamentals of selected sensing and actuation technologies are presented. In addition, the design of transducer circuits and signal conditioning that allow safe, accurate recording and analysis of these signals is elaborated. Practicals will augment the theory presented in lectures with working monitoring devices to be constructed. This course is taught by a new teaching team this semester.
Course requirements
Assumed background
Students are assumed to be competent inﾠanalog electronics (e.g. resistor dividers, operational amplifiers, circuits with transistors, and filters, plus relevant signal generation and measurement methods) at an intermediate level.ﾠKnowledge of discrete-time signals (e.g. basic digital sampling theory, and signal processing) and fundamental biology are an advantage.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
ELEC2400 or ELEC3400
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
BIOE1001
Incompatible
You can't enrol in this course if you've already completed the following:
ELEC3401 or ELEC4401 or ELEC4403 or ELEC7403 or ELEC6403
Course contact
Course staff
Lecturer
Dr Md Abdul Awal
Dr Wilbert Jesus Villena Gonzales
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
The course aims to deliver an understanding of the basics of biomedical instrumentation and the origins and significance of biosignals. It will present principles of recording various biosignals (such asﾠelectroencephalographyﾠandﾠblood pressure)ﾠas well as common transducer designs, signal conditioning, interfacing, and actuation techniques that are commonly applied in medical devices. Students will also acquire basic skills in the design of appropriate circuits and systems for both diagnostic and therapeutical applications.ﾠAn understanding of macro and microshock risks and the means by which these risks are minimised will also be presented.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Describe the origins of biopotentials and physiological parameters for the purposes of diagnostic and therapeutic device design.
LO2.
Design and construct conditioning circuits for medical devices, particularly concerning human cardiopulmonary measurements.
LO3.
Apply appropriate means of mathematical analysis to biosignals for research and diagnostic purposes.
LO4.
Identify sources of noise and signals artifacts in instrumentation systems and execute corrective techniques in both hardware and software.
LO5.
Appraise micro and macro shock risks in electromedical equipment and be able to design equipment compliant with relevant international electromedical safety standards.
LO6.
Identify appropriate sensor and actuation solutions for a given measurement task, design an electronic front-end and signal processing chain.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Participation/ Student contribution, Quiz |
WHS and Risk Assessment to be read & consented to.
|
Pass/Fail |
9/08/2024 3:00 pm |
| Quiz | Initial Quiz | 5% |
21/08/2024 - 23/08/2024
The quiz will open at 4pm on 21/08/2024 and close at 4pm on 23/08/2024. Further details provided in the course Blackboard site. |
| Practical/ Demonstration |
Instrumentation amplifier & filter
|
15% |
Week 8 Mon - Week 8 Fri
Assessment during scheduled lab session or during extra assessment sessions on Week 8. Students will sign up for a demonstration slot during week 8. This may be outside of scheduled class time |
| Practical/ Demonstration |
Digitisation and feature detection
|
25% |
Week 13 Mon - Week 13 Fri
Assessment during scheduled lab session or during extra assessment sessions on Week 13. Students will sign up for a demonstration slot during week 13. This may be outside of scheduled class time |
| Examination |
Final Examination
|
55% |
End of Semester Exam Period 2/11/2024 - 16/11/2024 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
WHS and Risk Assessment to be read & consented to.
- Hurdle
- Mode
- Written
- Category
- Participation/ Student contribution, Quiz
- Weight
- Pass/Fail
- Due date
9/08/2024 3:00 pm
- Learning outcomes
- L05
Task description
This course will require entry into a laboratory. ALL students must complete the required Risk Assessments for this course.
Hurdle requirements
This is a Pass/Fail assessment and a pass is required to achieve at least a passing grade for the course.Submission guidelines
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Initial Quiz
- Mode
- Written
- Category
- Quiz
- Weight
- 5%
- Due date
21/08/2024 - 23/08/2024
The quiz will open at 4pm on 21/08/2024 and close at 4pm on 23/08/2024. Further details provided in the course Blackboard site.
- Learning outcomes
- L01, L03, L04, L05
Task description
An online quiz will be conducted as a piece of assessment on Blackboard. It will consist of 20 multiple choice questions. Once started, you will have 60 minutes to complete the quiz. After this time, the test will be automatically submitted. This is an open book quiz.
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Instrumentation amplifier & filter
- Identity Verified
- Mode
- Activity/ Performance, Oral, Product/ Artefact/ Multimedia, Written
- Category
- Practical/ Demonstration
- Weight
- 15%
- Due date
Week 8 Mon - Week 8 Fri
Assessment during scheduled lab session or during extra assessment sessions on Week 8. Students will sign up for a demonstration slot during week 8. This may be outside of scheduled class time
- Learning outcomes
- L01, L02, L03, L05
Task description
A demonstration of a constructed bridge circuit, instrumentation amplifier and analog filter will be assessed in week 8.
Students are required to document their practical work in a lab book, and this will be submitted at the end of the scheduled demonstration. Code or other electronic media not practical to be included in a lab book will be submitted electronically via the course blackboard site prior to the commencement of the scheduled demonstration. The assessment task sheet will provide further details about the nature of documentation required. Lab work will be conducted by individual students. Submitted lab reports are an individual piece of work unless circumstances require shared or provided measures and data. Any analysis, discussion and conclusion are to be individual work.
Submission guidelines
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Digitisation and feature detection
- Identity Verified
- Mode
- Activity/ Performance, Oral, Product/ Artefact/ Multimedia, Written
- Category
- Practical/ Demonstration
- Weight
- 25%
- Due date
Week 13 Mon - Week 13 Fri
Assessment during scheduled lab session or during extra assessment sessions on Week 13. Students will sign up for a demonstration slot during week 13. This may be outside of scheduled class time
- Learning outcomes
- L02, L03, L04, L06
Task description
Implementation of an R wave detector is to be performed on a microcontroller-based development platform. Self-generated ECG is to be used to demonstrate the performance of the detection scheme which will be modeled on the algorithms presented in lectures. This lab project builds on the on the foundations learned in the earlier lab project. Details will be described in the relevant lab documentation.
Students are required to document their practical work in a lab book, and this will be submitted at the end of the scheduled demonstration. Code or other electronic media not practical to be included in a lab book will be submitted electronically via the course blackboard site prior to the commencement of the scheduled demonstration. The assessment task sheet will provide further details about the nature of documentation required. Lab work will be conducted by individual students. Submitted lab reports are an individual piece of work unless circumstances require shared or provided measures and data. Any analysis, discussion and conclusion are to be individual work.
Submission guidelines
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Final Examination
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 55%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
The examination will consist of twenty (20) multiple choice questions and four (4) short answer/calculation type questions.
Hurdle requirements
This assessment requires a minimum mark of 40% in order to pass the course.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
| Open/closed book | Closed Book examination - no written materials permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 19 |
Absence of evidence of achievement of course learning outcomes. Course grade description: Achieves a total mark of 19 or less. |
| 2 (Fail) | 20 - 44 |
Minimal evidence of achievement of course learning outcomes. Course grade description: Achieves a total mark between 20 and 44. |
| 3 (Marginal Fail) | 45 - 49 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Achieves a total mark between 45 and 49. |
| 4 (Pass) | 50 - 64 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: Achieves a total mark between 50 and 64. |
| 5 (Credit) | 64 - 74 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: Achieves a total mark between 65 and 74. |
| 6 (Distinction) | 75 - 84 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Achieves a total mark between 75 and 84. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Achieves a total mark of 85 or greater. |
Additional course grading information
Marks will be rounded up to the nearest integer before the grade cutoffs above are applied. To pass the course your final exam mark must be 40% or higher and you must have completed the WHS requirements. If your final exam mark is less than 40% then your overall percentage is capped at 49% and your final grade is capped at a 3.
The WHS requirements listed above refers to the declarations, inductions and/or assessments required for entry into the student laboratory. ALL students must individually complete the required declarations/inductions/assessment. Further details will be presented via Blackboard.
Supplementary assessment
Supplementary assessment is available for this course.
Additional assessment information
Having Troubles?
If you are having difficulties with any aspect of the course material you should seek help. Speak to the course teaching staff.
If external circumstances are affecting your ability to work on the course, you should seek help as soon as possible. The University and UQ Union have organisations and staff who are able to help, for example, UQ Student Services are able to help with study and exam skills, tertiary learning skills, writing skills, financial assistance, personal issues, and disability services (among other things).
Complaints and criticisms should be directed in the first instance to the course coordinator. If you are not satisfied with the outcome, you may bring the matter to the attention of the School of EECS Director of Teaching and Learning.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Multiple weeks From Week 1 To Week 13 |
Lecture |
Lectures Presentation of background theory and discussion of applied problems in biomedical instrumentation. Learning outcomes: L01, L02, L03, L04, L05, L06 |
Multiple weeks From Week 3 To Week 13 |
Practical |
Practical Classes Lab classes for construction and testing of instrumentation devices. Learning outcomes: L02, L03, L04, L05, L06 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
Course guidelines
Assessment tasks prohibiting use of AI or MT: The quiz assessment evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
In-person assessment not permitting use of AI or MT: The laboratory examinations, the final exam and the suplementary exam, are to be completed in-person. The use of generative Artificial Intelligence (AI) and Machine Translation (MT) tools will not be permitted. Any attempted use of Generative AI may constitute student misconduct under the Student Code of Conduct.