Course description

Medical Signals: origins and characteristics; modelling medical signals and systems; interference, artefact and noise removal; waveform complexity and event detection; nonlinear methods in medical system identification; introduction to pattern classification and diagnostic decisions; emerging techniques in medical signal processing. Case studies on the use of signal processing methodologies in clinical instrumentation, imaging and medical decision making.

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