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Unit outline_

AMME5790: Introduction to Biomechatronics

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

Biomechatronics is the application of mechatronic engineering to human biology, and as such it forms an important subset of the overall biomedical engineering discipline. This course focusses on a number of areas of interest including auditory and optical prostheses, artificial hearts and active and passive prosthetic limbs and examines the biomechatronic systems (hardware and signal processing) that underpin their operation.

Unit details and rules

Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
Prerequisites
? 
(MECH3921 OR BMET3921) OR MTRX3700 OR (AMME5921 OR BMET5921 OR BMET9921)
Corequisites
? 
None
Prohibitions
? 
AMME4790
Assumed knowledge
? 

Knowledge in mechanical and electronic engineering; adequate maths and applied maths skills; background knowledge of physics, chemistry and biology; Some programming capability: MATLAB, C, C++, software tools used by engineers including CAD and EDA packages.

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Graham Brooker, graham.brooker@sydney.edu.au
Lecturer(s) Graham Brooker, graham.brooker@sydney.edu.au
Tutor(s) Weirong Ge, wege5641@uni.sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam hurdle task Final exam
Type C
25% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4
Tutorial quiz Matlab tutorials
MATLAB based signal processing development
20% Multiple weeks 2 hrs face-to-face + 3 hrs independent
Outcomes assessed: LO1 LO4 LO3 LO2
Small test Quizzes
Consolidation of lecture content. Short answers or brief analysis
20% Multiple weeks 30 to 60 minutes
Outcomes assessed: LO1 LO4 LO3 LO2
Tutorial quiz Lab activities
Analysis of data generated by lab experiments
15% Multiple weeks 3 hrs face-to-face + 3 hrs independent
Outcomes assessed: LO1 LO4 LO3 LO2
Assignment Assignment
Research and Design
20% Week 09 About 20 hours over most of the semester
Outcomes assessed: LO4 LO1 LO2 LO3
hurdle task = hurdle task ?
Type C final exam = Type C final exam ?

Assessment summary

  • Matlab Tutorial: A number of hands-on tutorials will be undertaken in which the students are expected to apply and investigate what they have learned by developing models and software. Tutors will grade the individual submissions from students.
  • Quizzes: Quizzes will be held at the end of sections to ensure that students have understood the work covered so far
  • Lab Activities: Weekly individual on-line activities will be held in which students will be required to analyse data from sensing, processing and actuation hardware that illustrates some biomechatronic concepts. Students will submit a completed worksheet at the end of each lab which will be marked by the lecturer and/or tutor
  • Assignment: The design assignment will take the form of an individual assignment based on student research to develop ideas for a biomechatronic device in stages throughout the first half of the semester as their knowledge and understanding of the subject develops. An individual assignment document will be generated and will be graded by the lecturer to determine how well the students have satisfied the requirements specified in the problem statement. This open ended approach to an assignment allows students more scope to be creative, and throughout the course, creativity and an innovative approach will be encouraged.
  • Final Exam: Open-book examination. Final assessment will include a number of short-answer questions to assess the student’s knowledge of the basic concepts and an analysis section to test their ability to apply these concepts to solve problems. Note that students will be required to pass the exam, to pass the course.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

25% per day or part thereof to minimise student collusion

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to biomechatronics, hearing Lecture and tutorial (2 hr) LO1 LO3
Introduction to Labs Practical (3 hr) LO2
Week 02 Hearing prostheses Lecture and tutorial (2 hr) LO1 LO3
Measure Foundry - Graphs, Filtering & FFT Practical (3 hr) LO2 LO4
Week 03 Hearing prostheses and cochlear implants Lecture and tutorial (2 hr) LO1 LO3
Cochlear Processing Computer laboratory (1 hr) LO4
Sound Propagation & Mic Analysis Practical (3 hr) LO1 LO2 LO3 LO4
Week 04 Visual prostheses and sensory substitution Lecture and tutorial (2 hr) LO1 LO3
Cochlear Processing Computer laboratory (1 hr) LO4
Measure Foundry - Mic Measurements Practical (3 hr) LO2 LO3
Week 05 Visual prostheses implants and electrodes Lecture and tutorial (2 hr) LO1 LO3
Sensory Substitution Computer laboratory (1 hr) LO4
Image from Sound Practical (3 hr) LO2 LO4
Week 06 Introduction to the heart, Electrocardiography Lecture and tutorial (2 hr) LO1 LO3
Sensory Substitution Computer laboratory (1 hr) LO4
Image from Sound Practical (3 hr) LO2 LO4
Week 07 Artificial hearts Lecture and tutorial (2 hr) LO1 LO3
ECG Computer laboratory (1 hr) LO4
Measure Foundry - ECG and Acoustic Processing Practical (3 hr) LO1 LO2 LO4
Week 08 Artificial hearts Lecture and tutorial (2 hr) LO1 LO3
ECG Computer laboratory (1 hr) LO4
Measure Foundry - ECG and Acoustic Processing Practical (3 hr) LO1 LO2 LO4
Week 09 Limb prosthetics Lecture and tutorial (2 hr) LO1 LO3
Sphygmo Analysis Computer laboratory (1 hr) LO4
DICOM procesing Practical (3 hr) LO2 LO4
Week 10 Limb prosthetics Lecture and tutorial (2 hr) LO1 LO3
Sphygmo Analysis Computer laboratory (1 hr) LO4
DICOM Processing Practical (3 hr) LO2 LO4
Week 11 Respiration Lecture and tutorial (2 hr) LO1 LO3
Fleisch Analysis Computer laboratory (1 hr) LO4
Measure Foundry - EMG Processing Practical (3 hr) LO2 LO4
Week 12 Respiration Lecture and tutorial (2 hr) LO1 LO3
Fleisch Analysis Computer laboratory (1 hr) LO4
Acoustic Orthotic Practical (3 hr) LO3 LO4

Attendance and class requirements

Study commitment: 1) Independent Study –  Approximately three hours of private study per week outside formal contact hours will be expected in order to successfully consolidate the work covered in class. 2) Lecture – Formal face-to-face lectures will be conducted. These will generally be followed by interactive sessions that incorporate student activity and discussion of the material covered formally. 3) Project Work - own time: A design project will be undertaken by the students. This will take the form of ongoing research by the students followed by a report. 4) Laboratory - Students will work individually online to develop andanalyse  software based biomechatronic systems.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Graham Brooker, Introduction to Biomechatronics (1). Raleigh, NC, Scitech Publishers, 2012. 978-1-891121-27-2.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. develop a conceptual grasp of the intricate relationship between mind and body which will allow you to evaluate different forms of biofeedback that are used for diagnostics and rehabilitation
  • LO2. apply specialised engineering skills (mechanical and electrical) to analyse the performance of an active prosthetic device (e.g. prosthetic limb, hearing implant or artificial heart)
  • LO3. describe the operational principles of a number of implanted and attachable biomechatronic sensors used to monitor and/or stimulate physiological processes including those associated with hearing, seeing, thinking and movement amongst others
  • LO4. demonstrate an appreciation of the basics of the signal processing required to interpret bioelectrical signals and the ability to develop MATLAB code to perform this analysis.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

This course is mature, so the only changes have been those to accommodate on-line teaching and labs due to the COVID restrictions

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.