Medical Devices Engineering MSc
Signal Processing of Biosignatures M ENG5291
- Academic Session: 2026-27
- School: School of Engineering
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 1
- Available to Visiting Students: No
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
The course will provide an overview of the origin and recording techniques of most commonly used biological signals such as electroencephalography EEG, electromyography EMG and electrocardiography ECG. The participants will learn and implement various signal processing technique of healthy and pathological biological signals.
Timetable
2 x 1 Hour Lectures per week
2 x 2 hours tutorials
3 x 2 hours laboratory
Excluded Courses
ENG 4191 Signal Processing of Biosignatures 4
Co-requisites
None
Assessment
65% Written Examination
one written assignment (5%)
3 lab reports (10% each)
Main Assessment In: December
Course Aims
The aims of this course are to:
■ develop students knowledge of the origin and recording methods of brain, muscular and cardio signals;
■ provide an overview of pathological conditions that can be diagnosed with signal processing techniques;
■ provide a knowledge of advanced signal processing methods of biological signals;
■ give participants the confidence and skills to understand advanced signal processing methods described in scientific literature;
■ provide participant opportunity to develop computer models of some of the advanced signal processing methods;
■ encourage independent scientific thinking and problem solving.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ describe the origins and recording techniques of biological signals;
■ chose appropriate recording technique for a given application;
■ describe the representative biosignatures of the biological signals
■ describe the role of signal processing methods in diagnostic and human-machine communication;
■ use new signal processing methods presented in the literature (selected by a course leader);
■ record biological signals in a practical lab and process and analyse these signals.
■ evaluate signal quality in the presence of environmental and physiological noise.