| Unit name | Sensing Technologies for Diagnostics and Monitoring |
|---|---|
| Unit code | EENGM0031 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. Masullo |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
Undergraduate Degree in Engineering |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one | |
| School/department | School of Engineering Mathematics and Technology |
| Faculty | Faculty of Engineering |
Low-cost, connected, digital technologies are increasingly seen as vital to the understanding, prevention, diagnosis and management of numerous health conditions over months and years in residential settings and in the community. These technologies, such as smartphone apps, wearables, blood glucose monitors – and ever growing Internet of Things (IoT) devices such as smart home systems (e.g. Echo), smart meters and connected appliances – all offer an unprecedented opportunity to characterise a person’s health condition. With the data processed by AI, they will deliver decision support to health and care professionals, predict a patient’s exacerbations, support independent living, deliver behavioural or even pharmaceutical interventions and allow the efficacy of treatments to be monitored. This unit will discuss nascent technologies and solutions for sensing human vital signs and physical behaviour encompassing entire data capture transmission/processing pipelines: from body worn and biosensors to low power wireless networks and energy constraint data processing.
Syllabus
On successful completion of this module students will be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, practical activities supported by drop-in sessions, problem sheets and self-directed exercises.
Exam (January, 85%) and coursework (15%)
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EENGM0031).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
