Neurological disorders and imaging physics.
"Version: 20200701"--Title page verso.Includes bibliographical references.1. Majority vote of machine learning methods for real-time epileptic seizure prediction applied on EEG pediatric data / Medina Bandic, Jasmin Kevric, Dino Keco and Samed Jukic -- 2. Delineation of epileptogenic zone / Jo?aao Paulo Sant Ana Santos de Souza, Brunno Machado Campos, Felipe Franco da Gra?ca, Ricardo Brioschi, Larissa N?ubia Nunes Vilany, Wu Shin-Ting and Enrico Ghizoni -- 3. Dyslexia : behavioral and biological correlates and treatment / Kathleen H. Nielsen, Todd L. Richards and Virginia W. Berninger -- 4. Cholesterol and oxidized cholesterol derivatives : potential biomarkers of Parkinson's disease? / Thomas Nury, Gerard Lizard and Anne Vejux -- 5. Computer assisted diagnosis of gait dynamics neurodegenerative diseases using a machine learning approach / J. Prasanna, S. Thomas George and M.S.P. Subathra -- 6. Rett syndrome / Ola H. Skjeldal -- 7. Knowledge about epilepsy in university health students / Natalia Cristina de Oliveira Vargas e Silva and Priscila de Souza -- 8. Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments : the case of Parkinson's disease / Juan Rafael Orozco-Arroyave, Juan Camilo V?asquez-Correa and Elmar N?oth -- 9. 'They labelled me ignorant' : the role of neuroscience to support students with a profile of dyslexia / Stephen Camilleri, Deborah Chetcuti and Ruth Falzon -- 10. Advances in epilepsy : from gender to genetics / Suchitra Joshi and Denia Ramirez-Montealegre -- 11. Neuroimaging in Parkinson's disease / Pearl S. Rodrigues, Pravin P. Kale and Lokesh K. Bhatt.This book focuses on major trends and challenges in the area of dyslexia, epilepsy and Parkinson's, and aims to identify new techniques and their applications in biomedical analysis. This fifth volume on neurological disorders explores topics such as real-time epilepsy prediction applied on EEG pediatric data; delineation of epileptogenic zone; behavioral and biological correlates and treatment of dyslexia; potential biomarkers of Parkinson's disease; Rett Syndrome; and automatic assessment of motor impairments for Parkinson's disease. This is an essential reference for students and researchers in medical imaging, brain imaging, image processing, and neurology.Students, researchers, academia in medical imaging, brain imaging, image processing, neurology.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Ayman El-Baz is a professor, university scholar and the chair of the Bioengineering Department at the University of Louisville, Kentucky. He earned his BSc and MSc in electrical engineering in 1997 and 2001, respectively. He earned his PhD in electrical engineering from the University of Louisville in 2006, and has 17 years of hands-on experience in the fields of bio-imaging modelling and non-invasive computer-assisted diagnosis systems. Jasjit S Suri is an innovator, scientist, visionary, industrialist, an internationally known world leader in biomedical engineering, and he has spent 25 years in the field of biomedical engineering and its management. He was awarded the Marquis Life Time Achievement Award, Fellow of AIMBE and Fellow of AIUM during his career. His main contributions are in artificial intelligence in healthcare, particularly in cardiovascular and neurological fields.Title from PDF title page (viewed on August 4, 2020).
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