| CODE | SCE4103 | ||||||||||||
| TITLE | An Introduction to Biomedical Signal Analysis | ||||||||||||
| UM LEVEL | 04 - Years 4, 5 in Modular UG or PG Cert Course | ||||||||||||
| ECTS CREDITS | 5 | ||||||||||||
| DEPARTMENT | Systems and Control Engineering | ||||||||||||
| DESCRIPTION | The unit provides an introduction to biomedical data analysis, giving the opportunity to engineering students to apply their signal processing skills in this field of biomedical engineering. The unit starts with a brief introduction to the physiology of important systems within the human body, such as the heart, the brain and the circulatory system, providing a good background to understand the nature of biomedical data recorded through various medical devices. Basic signal processing tools that can be applied to such recorded data is then presented, including filtering to remove artifacts, time domain and frequency domain characterisation to extract relevant features from the data, pattern classification to help identify events of interest that can then lead to diagnostic decisions, and typical performance measures to quantify the sensitivity and specificity of a system in detecting events. Study-unit Aims: 1. To provide a basic introduction to the physiology of important systems within the human body; 2. To present the standard medical devices that can be used to record various signals from the human body; 3. To present the signal processing tools that can be used for the analysis of biomedical data; 4. To provide students with the possibility of capturing biomedical data using the various equipment available in the biomedical engineering lab. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: 1. Describe the physiology of various human systems such as the human brain, heart, circulatory system & muscular system; 2. Identify the signals that can be captured to record the functionality of these different human systems; 3. Identify different medical devices and explain their basic functionality; 4. Identify what pre-processing is required for different biomedical data such as electroencephalography (EEG) and electrocardiography (ECG); 5. Identify and label important events and characteristics in biomedical data and identify suitable features to quantify these characteristics; 6. Determine the evaluation measures to quantify the performance of identifying events. 2. Skills By the end of the study-unit the student will be able to: 1. Select which medical device is to be used to record different biomedical signals from the human body; 2. Pre-process the data by removing artifacts or unwanted activity using filtering techniques; 3. Analyse biomedical signals in the time and frequency domains and extract features that characterise these signals and that can help identify relevant events within the data; 4. Evaluate the performance of the system in identifying events within the data using measures such as accuracy, sensitivity and specificity; 5. Implement the necessary algorithms using Matlab programming or be able to make use of readily available Matlab code. Main Text/s and any supplementary readings: - Rangaraj M. Rangayyan, "Biomedical Signal Analysis", Second edition, John Wiley and Sons, 2015. - Laurence J. Street, "Introduction to Biomedical Engineering Technology", Third Edition, 2016. - Proakis J. G., Manolakis D., "Digital Signal Processing - Principles, Algorithms and Applications", Fourth Edition, Prentice Hall, 2007. - Bishop C. M., “Pattern Recognition and Machine Learning”. Springer, 2006. |
||||||||||||
| ADDITIONAL NOTES | Pre-Requisite Study-Units: SCE1201 and SCE3101 | ||||||||||||
| STUDY-UNIT TYPE | Ind Study, Lect, Proj, Tutorial, Practical & Visit | ||||||||||||
| METHOD OF ASSESSMENT |
|
||||||||||||
| LECTURER/S | Carl Azzopardi Nathaniel Barbara Marie Therese Camilleri Podesta' Christian Zammit |
||||||||||||
|
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
|||||||||||||