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Biomedical Signal Processing

(15 Credits)

Aims:

To introduce students to the principles of signal processing techniques when applied specifically to biomedical signals, including: ECG, MEG, EEG, SPO2, heart rate etc. This module will provide the student with a firm grounding in methods and tools for extracting information from digitally acquired biomedical signals. you will also be introduced to the practical implementation of signal processing techniques to digitally acquired biomedical signals.

Learning Outcomes:

At completion, students will be able to:
• Be able to demonstrate a systematic knowledge of the complex physical and physiological principles that underpin biomedical signals.
• Be able to demonstrate an advanced understanding of the principles of digital signal processing.
• Be able to systematically apply methods to extract relevant information from biomedical signal measurements.
• Be able to critically assess the appropriateness of biomedical signal processing techniques for various problems in the field.
• Be able to evaluate the effectiveness of techniques applied to biomedical signals against specific benchmarks.