Diagnostic Imaging Systems

Ayman S. El-Baz, Jasjit S. Suri (Herausgeber)

Buch | Softcover

420 Seiten

2026
Academic Press Inc (Verlag)
978-0-323-95441-9 (ISBN)

Infos

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.

Autor

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.

Inhalt

1. Introduction to Signal Processing Strategies: Neurocircuitry and Neuroprosthetics

Part I: Disrupting Neurocircuitry
2. Disrupting disordered neurocircuitry: treating refractory psychiatric illness with neuromodulation
3. Glutamate neurocircuitry
4. The neurocircuitry of emotion regulation
5. Neurocircuitry of stress integration
6. Neurocircuitry of disgust and anxiety in obsessive-compulsive disorder
7. Role of basal ganglia neurocircuitry in the pathology of psychiatric disorders

Part II: Neural Signal Processing & Data Analysis
8. Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems
9. Neural networks for intelligent signal processing
10. A comprehensive review of EEG-based brain–computer interface paradigms
11. EEG-based brain-computer interface for tetraplegics
12. EEG signal processing in anaesthesia
13. Neural networks for intelligent signal processing

Part III: Neuroprosthetics Applications
14. Extracting wavelet based neural features from human intracortical recordings for neuroprosthetics applications
15. Neuroprosthetics: Principles and Applications
16. Neuroprosthetic applications of electrical stimulation
17. Evaluation of a compact hybrid brain-computer interface system
18. State-of-the-art of Neuroprosthetics
19. Brain-machine interfaces beyond neuroprosthetics
20. Neuroprosthetic applications of electrical stimulation

Produkt-Details

• Erscheint lt. Verlag: 1.7.2026
• Reihe/Serie: Advances in Neural Engineering
• Verlagsort: Oxford
• Sprache: englisch
• Maße: 191 x 235 mm
• Themenwelt: Mathematik / Informatik ► Informatik
• ISBN-10: 0-323-95441-3 / 0323954413
• ISBN-13: 978-0-323-95441-9 / 9780323954419
• Zustand: Neuware