Advanced Methods in Biomedical Signal Processing and Analysis

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. Gives advanced methods in signal processing Includes machine and deep learning methods Presents experimental case studies INDICE: 1. Feature Engineering methods 2. Heart Rate Variability 3. A Parametric Modeling Approach to the Analysis of the Heart Rate Variability Signals Induced by Regular Intake of Cannabis in Paddy-Field Workers 4. Patient-Specific ECG Beat Classification using EMD and Deep Learning based Technique 5. Empirical Wavelet Transform and Deep Learning based Technique for ECG Beat Classification 6. Development of an Internet-of-Things (IoT)-based Pill Monitoring Device for Geriatric Patients 7. Biomedical Robotics 8. Combating COVID-19 by implying Machine Learning Predictions and Projections 9. Deep Learning Methods for Analysis of Neural Signals: From Conventional Neural Network to Graph Neural Network 10. Improved Extraction of the Extreme Thermal Regions of Thermograms 11. New metrics to asses the subtle changes of the heart electromagnetic field 12. The role of Optimized and Modified Lead systems in Electrocardiogram 13. Adaptive-Rate EEG Processing and Machine Learning based Efficient Classicifaction of Epilepsy 14. Multimodal Microscopy: A Novel Low-cost Microscope Designed for Food and Biological Applications

• ISBN: 978-0-323-85955-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 475
• Fecha Publicación: 01/06/2022
• Nº Volúmenes: 1
• Idioma: Inglés