Biomedical Signal Analysis, Second Edition uses a pedagogical and illustrative approach to introduce various signal analysis techniques that are particularly important for biomedical applications.

The book presents digital signal processing and pattern recognition techniques for analysis of biomedical signals. It begins with an introduction on the nature of biomedical signals, such as the action potential, electrocardiogram, muscle signals, brain signals, heart sounds, and speech. A detailed review of signals and systems is presented to set the stage for filtering of biomedical signals to remove noise and various artifacts. Several filtering techniques are presented with applications, from simple averaging to advanced and sophisticated optimal filtering methods. Techniques for detection and characterization of events and waves within a given signal are described. Several advanced techniques are described for adaptive analysis of non-stationary signals using time-frequency, wavelet, and other forms of representation. The book concludes with a chapter on pattern classification techniques that could be used in diagnostic decision-making procedures.

The new edition of this book includes:

• End-of-chapter study questions, problems, and laboratory exercises
• Details on the z-transform, the Fourier Transform, random processes, and linear filters and their characteristics
• Methods for analysis of muscle, heart, brain, and knee-joint signals
• Methods for pattern analysis and classification with illustrations of application to biomedical signals
• Fractal analysis with biomedical applications