Signal Processing Strategies
Signal Processing Strategies
Published on 13. November 2024
Book
Paperback/Softback
334 pages
978-0-323-95437-2 (ISBN)
Description
Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human-machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
Weight
700 gr
ISBN-13
978-0-323-95437-2 (9780323954372)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ayman S. El-Baz | Mba Suri
Signal Processing Strategies
E-Book
11/2024
Elsevier
€170.00
Available for download
Persons
Dr. El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master's degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents). Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General's Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.
Content
1. Framework for segmentation, optimization, and recognition of multivariate brain tumors.
2. The Neural Circuitry of PTSD - An RDOC Approach
3. CNN-based Artifact Recognition from Independent Components of EEG Signals
4. Deep multimodal representation learning for non-invasive neural speech decoding
5. Neural signals processing using deep learning for diagnosis of cognitive disorders
6. Brain tumor recognition using Semi Supervised Generative Adversarial Network
7. Multivariate adaptive signal decomposition techniques and their applications to EEG signal processing: An introduction
8. Split Learning for Human Activity Recognition
9. Machine Learning Approaches for Epilepsy Analysis in Current Clinical Trials
10. Brainwave and Head Motion Control of a Smart Home for Disabled People
11. Blind source separation methods for motor imagery-based brain-computer interfaces
12. Advancing neural engineering: hierarchical control strategies with human-centered focus for hand prosthetics
13. Advances in non-invasive EEG-Based brain-computer interfaces: signal acquisition, processing, emerging approaches, and applications
2. The Neural Circuitry of PTSD - An RDOC Approach
3. CNN-based Artifact Recognition from Independent Components of EEG Signals
4. Deep multimodal representation learning for non-invasive neural speech decoding
5. Neural signals processing using deep learning for diagnosis of cognitive disorders
6. Brain tumor recognition using Semi Supervised Generative Adversarial Network
7. Multivariate adaptive signal decomposition techniques and their applications to EEG signal processing: An introduction
8. Split Learning for Human Activity Recognition
9. Machine Learning Approaches for Epilepsy Analysis in Current Clinical Trials
10. Brainwave and Head Motion Control of a Smart Home for Disabled People
11. Blind source separation methods for motor imagery-based brain-computer interfaces
12. Advancing neural engineering: hierarchical control strategies with human-centered focus for hand prosthetics
13. Advances in non-invasive EEG-Based brain-computer interfaces: signal acquisition, processing, emerging approaches, and applications