Biomedical Signal Processing for Healthcare Applications

This book examines biomedical signal processing in which biomedical signals such as EEG, EMG, ECG are used to analyze and diagnosis various medical conditions. These modalities are used in diagnosis of dangerous illness related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals will subsequently benefit the healthcare sector by improving improving patient outcomes through early and more reliable detection. The discussion of these modalities will help in better understanding, analysis and application of biomedical signal processing for specific diseases. The major highlights of the book include biomedical signals; acquisition of the signals; pre-processing and analysis; post-processing and classification of the signals; application of analysis and classification for diagnosis of brain- and heart-related diseases. Emphasis is given to the brain and heart signals because major complications and poorer interpretations are made by the physicians in quite a number of situations. This book can be used by a wide range of users including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.