| CODE | SCE5110 | ||||||||||||
| TITLE | Theoretical and Practical Aspects of Biomedical Signal Analysis | ||||||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||||||
| ECTS CREDITS | 10 | ||||||||||||
| DEPARTMENT | Systems and Control Engineering | ||||||||||||
| DESCRIPTION | Biomedical signal processing is a powerful tool for medical diagnosis and is to be found in all speciality areas of physiological measurement. Biomedical signal processing is important for enhancing the visual appearance of physiological signals for the clinician, for preparing signals for measurement of features present and for the extraction of quantitative data from the signals. The learning is delivered using lectures and hands-on tutorials using MATLAB. Assessment is via classwork and examination. Study-Unit Aims: The study-unit aims to help students acquire the knowledge and skills in biomedical signal processing. The subject is important for all specialties of physiological signal measurement. Biomedical signal processing can be used to enhance the visual appearance of physiological signals for the clinician, for preparing signals for measurement of features present and for the extraction of quantitative data from the signals. Furthermore, the study-unit aims to help students acquire the skills to implement various signal processing techniques in MATLAB. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Describe and apply the Nyquist-Shannon's sampling theorem, and choose appropriate signal filtering to reduce aliasing; - Describe the process of quantisation to convert an analogue value to a discrete value and the concomitant loss of information; - Describe Linear Time-Invariant (LTI) systems and their properties, and determine whether a system is linear and/or time-invariant; - Describe and apply Fourier-based methods to analyse signals the frequency content of signals. 2. Skills: By the end of the study-unit the student will be able to: - Identify suitable signal processing techniques to biomedical signals to process them as required; - Implement the signal processing techniques in MATLAB; - Assess the outcome of the applied signal processing; - Choose and apply suitable signal analysis techniques in order to extract signal characteristics. Main Readings: - Rangayyan, R. M. (2011). Biomedical Signal Analysis (2nd ed.). Wiley. - Proakis, J. G., & Manolakis, D. G. (1996). Digital Signal Processing, Principles, Algorithms and Applications (3rd ed.). Prentice-Hall. |
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| STUDY-UNIT TYPE | Lecture, Independent Study & Tutorial | ||||||||||||
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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 2025/6. It may be subject to change in subsequent years. |
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