Official NUC CCMAS syllabus

BME 524 — Biomedical Signal Processing

3 units · BME department course · Nigerian universities

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What you'll be able to do (official learning outcomes)

Upon completion of the subject, students should be able to:
extract useful information from a biomedical signal
demonstrate an understanding of signal representation and processing across a range of biomedical devices
apply advanced knowledge in biomedical image processing to develop and implement biomedical algorithms for processing biomedical images and critically interpret their success
appreciate the mathematical principles of continuous and digital signal processing
apply specific mathematical techniques to solve problems in the area of biomedical signals;
describe the origin, properties, and suitable models of important biological signals such as ECG, EEG.

Course contents

Signals: What is a signal? History; categories; application fields. Biomedical Signals: nature, sources, types and examples. Signal Processing: Definition, Stochastic and deterministic signals, Discrete signals, Linear time invariant systems, Duality of time and frequency domain, Hypotheses testing. Biomedical signal Processing: Brain signals-local field potentials (LFP), electrocorticogram, (ECG), electroencephalogram (EEG), and magnetoencephalogram (MEG); Heart signals - Electrocardiogram, Heart rate variability, Fetal ECG; Electromyogram; Gastro- intestinal signals; Acoustic signals. Modeling Biomedical Systems.

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study BME 524.

BME 524 — Biomedical Signal Processing

What you'll be able to do (official learning outcomes)

Course contents

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