Biomedical Engineering BEng/MEng

Signal Processing of Biosignatures 4 ENG4191

  • Academic Session: 2020-21
  • School: School of Engineering
  • Credits: 10
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

The course will provide an overview of the origin and recording techniques of the most commonly used biological signals such as electroencephalography (EEG), electromyography (EMG) and electrocardiography (ECG).  The participants will learn and implement various signal processing techniques to assess healthy and pathological biological signals.


2 x 1 Hour Lectures per week

Requirements of Entry

Mandatory Entry Requirements


Recommended Entry Requirements


Excluded Courses






60% Examination

40% Project work

Main Assessment In: December

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

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 signal processing methods as a base for further independent learning;

■ give participants the confidence and skills to apply different methods of signal processing to biological signals;

■ introduce a concept of human machine interface based on biological signals;

■ encourage independent scientific thinking and problem solving.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ demonstrate an understanding of the origins of, and appropriate recording techniques, for biological signals;

■ choose an appropriate recording technique for a given application;

■ demonstrate knowledge of the representative biosignatures of the biological signals;

■ demonstrate an understanding of the importance of signal processing methods in diagnostic and human-machine communication;

■ analyse biological signals.

Minimum Requirement for Award of Credits

Students must attend the degree examination and submit at least 75% by weight of the other components of the course's summative assessment.


Students must attend the timetabled laboratory classes.


Students should attend at least 75% of the timetabled classes of the course.


Note that these are minimum requirements: good students will achieve far higher participation/submission rates.  Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.