This textbook covers the basic principles behind signal and image 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.

In addition, this book:

• Covers different ways of extracting features from signals and studies some of the popular classification methods
• Discusses techniques for target signals, including discrete Fourier transform, discrete time filters and Z transform
• Explains physiological basis for signal generation and how signal processing techniques can help identify pathologies

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.