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Table of Contents
Chapter 1. Multi-CLASS fNIRS Classification of Motor Execution Tasks with Application to Brain Computer Interfaces
Chapter 2. A Comparative Study of End-to-End Discriminative Deep Learning Models for Knee Joint Kinematic Time Series Classification
Chapter 3. Nonlinear Smoothing of Data with Random Gaps and Outliers (DRAGO) Improves Estimation of Circadian Rhythm
Chapter 4. Wearable Smart Garment Devices for Passive Biomedical Monitoring
Chapter 5. Spatial Distribution of Seismocardiographic Signals
Chapter 6. Noninvasive Vascular Blood Sound Monitoring Through Flexible Pvdf Microphone
Chapter 7. Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning
Chapter 8. Objective evaluation metrics for automatic classification of EEG events.
Chapter 2. A Comparative Study of End-to-End Discriminative Deep Learning Models for Knee Joint Kinematic Time Series Classification
Chapter 3. Nonlinear Smoothing of Data with Random Gaps and Outliers (DRAGO) Improves Estimation of Circadian Rhythm
Chapter 4. Wearable Smart Garment Devices for Passive Biomedical Monitoring
Chapter 5. Spatial Distribution of Seismocardiographic Signals
Chapter 6. Noninvasive Vascular Blood Sound Monitoring Through Flexible Pvdf Microphone
Chapter 7. Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning
Chapter 8. Objective evaluation metrics for automatic classification of EEG events.