Neural Engineering Techniques for Autism Spectrum Disorder
Volume 1: Imaging and Signal Analysis
Free Global Shipping
No minimum orderDescription
Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD.
Key Features
- Presents applications of Neural Engineering and other Machine Learning techniques for the diagnosis of Autism Spectrum Disorder (ASD)
- Includes in-depth technical coverage of imaging and signal analysis techniques, including coverage of functional MRI, neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, and neuroanatomy of autism
- Covers Signal Analysis for the detection and estimation of Autism Spectrum Disorder (ASD), including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals for ASD
- Written to help engineers, computer scientists, researchers and clinicians understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)
Readership
Biomedical Engineers and researchers in neural engineering, medical imaging, and neural networks. Students, researchers and clinicians in autism, and a variety of other specialties
Table of Contents
Product details
- No. of pages: 400
- Language: English
- Copyright: © Academic Press 2021
- Published: July 16, 2021
- Imprint: Academic Press
- eBook ISBN: 9780128230657
- Paperback ISBN: 9780128228227
About the Editors
Ayman S. El-Baz
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).
Affiliations and Expertise
Professor, University Scholar, and Chair of the Bioengineering Department, University of Louisville, USA
Jasjit Suri
Jasjit S. Suri, PhD, MBA, FIEEE, FAMIBE, FAIUM, FSVM, FAPVS, is an innovator, visionary, scientist, and an internationally known world leader in Biomedical Engineering and its management. Dr. Suri received the Director General's Gold Medal in 1980 as well as a Lifetime Achievement Award from Marquis in 2018. He is a Fellow of Institute of Electrical and Electronics Engineering (IEEE, 2021), American Institute of Medical and Biological Engineering (AIMBE, 2004), awarded by the National Academy of Sciences, Washington DC, American Institute of Ultrasound in Medicine (AIUM, 2019), Society of Vascular Medicine (SVM, 2021), and Asia Pacific Vascular Society (APVS, 2020). He is currently Chairman of AtheroPoint™ in Roseville, CA, USA, dedicated to imaging technologies for cardiovascular and stroke. He has nearly 25,000 citations, co-authored 60 books, and holds 50 US/European patents.
Affiliations and Expertise
Chairman of AtheroPoint, Roseville, CA, USA
Ratings and Reviews
There are currently no reviews for "Neural Engineering Techniques for Autism Spectrum Disorder"