The University of Sydney - Engineering

Unit:	BMET2922: Computational Analysis for Biomedical Signals (6 CP)
Mode:	Normal-Day
On Offer:	Yes
Level:	Intermediate
Faculty/School:	School of Biomedical Engineering
Unit Coordinator/s:	Dr Watkins, Greg
Session options:	Semester 2
Versions for this Unit:	2021 - Semester 2 Go

Campus:	Camperdown/Darlington
Pre-Requisites:	None.
Prohibitions:	BMET9922.
Brief Handbook Description:	Biomedical engineering is being deeply reshaped by the advancements in computational tools and the utilisation of rich data. This unit will explore the processes involved in designing and building systems to perform computational analysis on biological signals, using microcontrollers and desktop or server computing. The main teaching activities will focus on the theory and practical skills for data capture, cleaning, communication, storage, and analytics. The purpose is to ensure that students develop the skills necessary to design systems that can be used for monitoring of patients, where the data can be used for analytics, e.g. prediction of an adverse event. This is relevant to a number of applications in modern healthcare such as continuous and remote monitoring devices. The unit will develop core skills in programming, solution design, sensor interfacing, and data analysis.
Assumed Knowledge:	Knowledge of basic biomedical engineering principles BMET1960) and basic programming (ENGG1801 or ENGG1810 or INFO1110).

Lecturer/s:	Dr Kumar, Ashnil
Timetable:	BMET2922 Timetable
Time Commitment:	# Activity Name Hours per Week Sessions per Week Weeks per Semester 1 Lecture 1.00 1 13 2 Laboratory 3.00 1 11 3 Independent Study 5.00 1 13
T&L Activities:	Lecture: Delivery of theoretical content Laboratory: Practical computer labs Independent study: Review of lecture & laboratory materials, and assessment tasks

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 are required to explain the mathematical theories behind biomedical signal analysis pipelines, both in laboratory exercises and in assessments. Based on this understanding, students will have to implement the appropriate software and hardware components to solve particular signal processing tasks.	(1) Maths/ Science Methods and Tools (Level 2)
Students are given scenario(s) that require them to use various components and tools to create a pipeline to capture, transmit, analyse, and visualise biological signal data. Students have to implement an appropriate pipeline given the specific scenario.	(2) Engineering/ IT Specialisation (Level 3)
In laboratory assignments and assessments, students are required to integrate hardware and software components to create solutions for remote patient monitoring tasks.	(3) Problem Solving and Inventiveness (Level 2)
Students produce the design of a pipeline for biomedical signal analysis. They will describe the integration of various hardware and software components, identifying both strengths and limitations of their proposed design.	(4) Design (Level 2)
Students are required to practice their written and oral communication skills through the assessments. They need to articulate the technical means through which their practical assessment meets the requirements of the scenario, and the justification for their design decisions.	(6) Communication and Inquiry/ Research (Level 3)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.

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.

(6) Communication and Inquiry/ Research (Level 3)
(4) Design (Level 2)
(2) Engineering/ IT Specialisation (Level 3)
(3) Problem Solving and Inventiveness (Level 2)
(1) Maths/ Science Methods and Tools (Level 2)

Assessment Methods:	# Name Group Weight Due Week Outcomes 1 Assignment: Design Proposal Yes 10.00 Week 5 1, 2, 3, 2 Mid-Semester Quiz No 10.00 Week 7 3, 7, 8, 9, 3 Assignment: System demonstration Yes 20.00 Week 12 3, 4, 5, 7, 9, 4 Assignment: System design report No 10.00 Week 13 1, 3, 7, 8, 5 Lab: Contribution No 10.00 Multiple Weeks 1, 3, 4, 5, 6, 7, 8, 9, 6 Written exam No 40.00 Exam Period 2, 3, 7, 8, 9,
Assessment Description:	• Assignment: Design Proposal – students will propose a design for a system which collects data from a (supplied) biomedical sensor and displays the data in a simple graphical format on a host computer. The report will describe the system and software architecture, key system performance requirements, and provide a plan (schedule, risks, issues) for the implementation of the system. • Quiz – a mid-semester quiz covering materials from lectures, tutorials, and laboratories. • Assignment: System Demonstration – in a group, students will present the realisation of their design and justify the design choices that they have made. • Assignment: Design Report – students will provide a brief report on the system operation and performance, as well as comparing the realisation of the system to the design proposal. • Lab: Contribution – students will keep a logbook that details their contribution to each week's laboratory exercises and the lessons they have learned. • Written exam: Final examination covering all materials in lectures, tutorials, laboratories, and assignments.
Assessment Feedback:	The teaching team will provide feedback on the assessment tasks. Assignment results will be published on Canvas. Students are required to check their results. Any errors or omissions must be reported to the unit coordinator, with appropriate evidence, within 5 working days (a week) of being published; 5 days after being published, marks are considered to have been confirmed and will not subsequently be altered.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week	Description
Week 1	Lecture: Introduction to the unit, learning outcomes, and assessments
Week 2	Lecture: Biological signal data collection with microcontrollers
	Lab: Introduction to software and tools to be used during the semester
Week 3	Lecture: Biomedical sensors – Introduction to the types of sensor, application and key characteristics
	Lab: Interfacing biomedical sensors with microcontrollers for simple I/O
Week 4	Lecture: Acquiring, storing and displaying signal data from biomedical sensors
	Lab: Biosignal data acquisition and display
Week 5	Lecture: Processing biomedical signals
	Lab: Capturing and processing signals simultaneously (multi-tasking)
	Assessment Due: Assignment: Design Proposal
Week 6	Lecture: Data communication
	Lab: Communicating signal data to a remote server (host)
Week 7	Lecture: Quiz
	Lab: Project prototyping session
	Assessment Due: Mid-Semester Quiz
Week 8	Lecture: Designing the host system for biomedical signal data
	Lab: Remote monitoring of biomedical signal data (text)
Week 9	Lecture: Biosignal data processing and analysis on the host
	Lab: Remote monitoring of biomedical signal data (graphical)
Week 10	Lecture: Putting it all together: System integration
	Lab: System integration – data communication and remote control
Week 11	Lecture: Putting it all together: System validation
	Lab: Project work
Week 12	Lecture: Case Study
	Lab: System demonstration
	Assessment Due: Assignment: System demonstration
Week 13	Lecture: Review – exam preparation
	Assessment Due: Assignment: System design report
Exam Period	Assessment Due: Written exam

Course Relations

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

Course	Year(s) Offered
Biomedical Mid-Year	2021, 2022, 2018, 2019, 2020
Biomedical/ Project Management	2021, 2022, 2019, 2020
Biomedical	2021, 2022, 2018, 2019, 2020
Biomedical / Arts	2021, 2022, 2017, 2018, 2019, 2020
Biomedical / Commerce	2021, 2022, 2017, 2018, 2019, 2020
Biomedical /Science	2021, 2022, 2017, 2018, 2019, 2020
Biomedical/Science (Health)	2021, 2022, 2018, 2019, 2020
Biomedical / Law	2021, 2022, 2017, 2018, 2019, 2020
Biomedical/Science (Medical Science Stream)	2021, 2022, 2018, 2019, 2020
Biomedical / Medical Science	2017
Biomedical / Music Studies	2017
Biomedical / Project Management	2017, 2018

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Course Goals

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

Attribute	Practiced	Assessed
(6) Communication and Inquiry/ Research (Level 3)	Yes	9%
(7) Project and Team Skills (Level 3)	No	0%
(8) Professional Effectiveness and Ethical Conduct (Level 2)	No	0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 3)	No	0%
(4) Design (Level 2)	Yes	29.5%
(2) Engineering/ IT Specialisation (Level 3)	Yes	14%
(3) Problem Solving and Inventiveness (Level 2)	Yes	19.5%
(1) Maths/ Science Methods and Tools (Level 2)	Yes	28%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 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.