Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniqu…
Practical Guide for Biomedical Signals Analysis Using Machine Learning TechniquesA MATLAB Based Approach\nAuthor(s): Abdulhamit Subasi\nFormat: Paperback\nPublisher: Elsevier Science Publishing Co Inc, United States\nImprint: Academic Press Inc\nISBN-13: 9780128174449, 978-0128174449\nSynopsis\nPractical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature.
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