Signal Processing of Biosignatures 4 ENG4191

  • Academic Session: 2024-25
  • School: School of Engineering
  • Credits: 10
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: Yes
  • Collaborative Online International Learning: No

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.

Timetable

2 x 1 Hour Lectures per week

2 x 2 hours tutorials

3 x 2 hours laboratory

Requirements of Entry

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

Excluded Courses

ENG5291 Signal Processing of Biosignatures M

Co-requisites

None

Assessment

Assessment

65% 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 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;

■ record biological signals in a practical lab and process and analyse these signals.

■ evaluate signal quality in the presence of environmental and physiological noise.

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.