EEEN30180

Learning Outcomes:

On successful completion of this module the student will be able to:
- apply the principles of electrical circuit theory and analyses to the use and design of instrumentation in the biomedical area;
- explain the operating principles of biomedical transducers for themeasurement of biopotentials (ECG, EMG, EEG, EOG) and other critical physiological variables such as blood pressure, flow, and temperature;
- design and build analog signal conditioning circuits that provide reliable biopotential measurements, e.g. ECG;
- explain the physical principles underlying the function of biopotential electrodes;
- demonstrate knowledge of electrical safety considerations in the medicalenvironment;
- demonstrate programming skills through the use of MATLAB or Python for back-end data acquisition and elementary digital signal processing.

Indicative Module Content:

Below is a rough list of topics covered when the class was delivered in Spring 2023:
* Intro/outline
* Sensor static characteristics
* Sensor calibration
* Revision of electrical engineering (up to opamps and phasors)
* Passive conditioning circuits (RC filters, Bode plots)
* Active conditioning circuits (active (opamp) filters)
* Bioelectricity (membrane potentials, equilibrium (Nernst), voltage gated channels, action potentials, myelin, volume conduction)
* Electrophysiology (examples of EEG, ECG, EMG, EOG,...)
* Electodes (oxidation/reduction, electrolytes, electrode electrical models)
* Advanced conditioning circuits (noise, interference, shielding, active shielding, driven right leg active ground)
* Bridges (no bridge; 1/4, 1/2, full bridge)
* Electrical safety
* Revision

Student Effort Hours:

Approaches to Teaching and Learning:

- Flipped classroom: We are using a flipped classroom approach; instead of coming to lectures, you will watch approximately 3 hours of video content each week to prepare for the following week's tutorials. It will take some discipline to keep up with the video content, but doing so will help you get the most from tutorials.
- Pre-recorded video: Pre-recorded topic-focused videos and PDF copies of the handwritten notes from the videos will be available on Brightspace; videos are hosted on YouTube, linked to from Brightspace.
- Tutorials: Tutorial sessions will be delivered in person, on campus, in which students will work collaboratively on tutorial questions. There is no hybrid option for tutorials; they are in-person only. Solutions are not posted online. (1x 100 min tutorial per week.)
- Brightspace quizzes: There will be a 15-minute Brightspace quiz during each tutorial, each for 1% of the final module grade.
- Laboratories: Four laboratories will be performed in pairs, in-person, on campus. The module coordinator and demonstrators are on hand to assist during labs.
- Office hours: Meetings with the module coordinator can be arranged on Zoom or in person, depending on module coordinator's availability.
- Email: You can contact the module coordinator with questions, but response times may vary depending depending on their workload at the time. Every effort is made to reply within one day.

(Generative AI tools may be used to support learning and in some cases (midterm quiz, in-class quizzes, and lab reports) to support assessment. However, appropriate acknowledgement of when and how these tools were used must be submitted along with the work. Such tools will not be allowed in the final exam environment. In general, the usefulness of these tools is extremely limited for this module.)

Requirements, Exclusions and Recommendations

Learning Recommendations:

A basic prior knowledge of electric circuit theory and probability theory are important. Prior background in signal processing is also useful.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Labs: Students can seek feedback when preparing laboratory reports from the demonstrators (during the lab session) or the module coordinator. Written post-assessment feedback if lab reports will be given on Brightspace when the lab mark is released; the extent of this feedback depends on the number of deficiencies found in the lab report. Midterm exam: During course revision, general feedback will be given on where most common errors occured in the midterm exam. Tutorials: Feedback given by way of answering individual student questions and presenting worked solutions. Office hours: Feedback available by request or in scheduled meetings with the module coordinator.

Medical Instrumentation: Application and Design, 5th Edition. John G. Webster (Editor), Amit J. Nimunkar (Editor). Wiley. ISBN: 978-1-119-45733-6
https://www.wiley.com/en-us/Medical+Instrumentation%3A+Application+and+Design%2C+5th+Edition-p-9781119457336
(This book is on its 5th edition, but is very similar to several of the previous editions, so they may suffice. It's not a mandatory text, but it would be good to have a copy of this if studying biomedical engineering).

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.