Biomedical Signal Processing : Innovation and Applications /

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Obeid, Iyad (Editor), Selesnick, Ivan (Editor), Picone, Joseph (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Biomedical engineering. Signal processing. Image processing. Speech processing systems. Health informatics. Radiology. Biomedical Engineering and Bioengineering. Signal, Image and Speech Processing. Health Informatics. Imaging / Radiology. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.