Full Description
This textbook covers the basic principles behind signal processing tools for biomedical applications. Readers will learn hands-on how to analyze datasets from various, different modalities. Coverage includes signals that originate from within the body, e.g., the electrical signals generated by the heart, or the electrocardiogram (EKG), and the signals generated by the brain, or the electroencephalogram (EEG), as well as those that we generate in order to examine the state of the body, e.g., magnetic resonance imaging (MRI), and Xrays used to generate Computed Tomography (CT) images.
This book is designed for use in a one semester course on the subject. The language is user friendly enough that it can be used for self-study.
Contents
Introduction.- Signal Representation.- Discrete Time Filters.- Feature Selection.- Feature Classification.- Neuronal Signaling.- The Electrocardiogram.- The Electroencephalogram.- Computed Tomography.- Magnetic Resonance Imaging.
