Note: This unit version is currently under review and is subject to change!
ELEC5622: Signals, Software and Health (2019 - Semester 2)
| Unit: | ELEC5622: Signals, Software and Health (6 CP) |
| Mode: | Normal-Day |
| On Offer: | Yes |
| Level: | Postgraduate |
| Faculty/School: | School of Electrical & Computer Engineering |
| Unit Coordinator/s: |
Prof de Chazal, Philip
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| Session options: | Semester 2 |
| Versions for this Unit: |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | None. |
| Brief Handbook Description: | This unit aims to introduce students to the main issues involved in producing systems that use sensor data, such as those from physiology and activity tracking, often combined with patients self-reports. As sensing devices become ubiquitous, data processing, storage and visualization techniques are becoming part of all health systems, both institutionalized and individually driven. The unit is related to, but distinct, to health informatics - an area that focuses on the the use of computing to deliver cost efficient healthcare and the area of bioinformatics, that explores the role of computing in understanding biology at the cellular level (e.g. genome). This unit focuses on the technical and non-technical problems of developing increasingly ubiquitous devices and systems that can be used for personal and clinical monitoring. |
| Assumed Knowledge: | None. |
| Lecturer/s: |
Prof de Chazal, Philip
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| Timetable: | ELEC5622 Timetable | |||||||||||||||||||||||||
| Time Commitment: |
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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.
Unassigned Outcomes
1. Be able to Conceive and Design an innovative health software application using sensing devices.
2. Be able to explain what physiological signals are and how they are measured. Show proficiency in using state of the art tools and methods to collect and analyse sensing data.
3. Capacity to write reports and make presentations to communicate technical and often complex material in clear and concise terms for a specific target audience.
4. Ability to work in an interdisciplinary team effectively and efficiently by assuming clearly defined roles and responsibilities and then interacting in a constructive manner with the group by both contributing and evaluating others' viewpoints in a project where devices and software tools are deployed in a health environment.
| Assessment Methods: |
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| Assessment Description: |
* indicates an assessment must be repeated if a student misses it due to special consideration. There may be statistically and educationally defensible methods used when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with grade descriptors. Late penalties are 20% per day. The University has authorised and mandated the use of text-based similarity detecting software Turnitin for all text-based written assignments. Lab Report. Laboratory report on E-health tutorial. Project: Proposal, Prototype, Final application & Presentation. Students will develop an application around understanding the needs of potential customers. At the beginning of the semester a list of possible projects will be provided. Students may also propose their own project. Mid term Exam: Concepts of signals, software and health used in the project . Quiz: Concepts of signals, software and health used in the project. |
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| Grading: |
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| Policies & Procedures: | See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies. |
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: Health and technology. Health related devices. Patient compliance. Health surveillance and monitoring. |
| Week 2 | Lecture: Physiological signals and the body. |
| Week 3 | Lecture: Physiological signals, data manipulation and storage. |
| Week 4 | Lecture: Storage of data |
| Assessment Due: Lab report | |
| Assessment Due: Quiz 1 | |
| Week 5 | Lecture: Systems and application development. |
| Week 6 | Lecture: Guest lecturer on development of sensors of new devices to improve diagnosis and treatment of health problems. |
| Week 7 | Lecture: Performance assessment of devices |
| Assessment Due: Project Proposal | |
| Week 8 | Data transmission in embedded systems |
| Week 9 | Other: Public Holiday: no lecture |
| Week 10 | Mid term exam |
| Assessment Due: Mid-term exam* | |
| Week 11 | Lecture: Application design |
| Week 12 | Lecture: Software development and regulation |
| Week 13 | Project presentations |
| Assessment Due: Project presentation | |
| Assessment Due: Project - Team discussion and demonstration | |
| Assessment Due: Project- Report |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| (6) Communication and Inquiry/ Research (Level 3) | No | 0% |
| (7) Project and Team Skills (Level 3) | No | 0% |
| (5) Interdisciplinary, Inclusiveness, Influence (Level 4) | No | 0% |
| (4) Design (Level 4) | No | 0% |
| (3) Problem Solving and Inventiveness (Level 4) | No | 0% |
| (2) Engineering/ IT Specialisation (Level 4) | No | 0% |
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.
