Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach - Softcover

Subasi, Abdulhamit

Softcover

ISBN 10: 0128174447 ISBN 13: 9780128174449

Verlag: Academic Press, 2019

Inhaltsangabe

Practical 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 extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more.

This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis.

Über diesen Titel

Über die Autorin bzw. den Autor

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Analysis and Security. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 0128174447
• ISBN 13: 9780128174449
• Einband: Tapa blanda
• Anzahl der Seiten: 456
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Yeepin GmbH; 492000000000; sunshine12232@outlook.com; ; Alleestr.11; Kaiserslautern; Rheinland-Pfalz; 67655; Deutschland