Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2 1st Edition – Ebook PDF Instant Delivery – ISBN(s): 9780128244210,0128244216,9780128244227,0128244224
Product details:
- ISBN-10 : 0128244224
- ISBN-13 : 9780128244227
- Author: Jasjit Suri, Ayman S. El-Baz
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.
- 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)
Table contents:
1. Remote Telehealth Assessments for Autism Spectrum Disorder
2. Maternal Immune Dysregulation and Autism Spectrum Disorder
3. Reading differences in eye-tracking data as a marker of high-functioning autism in adults and comparison to results from web-related tasks
4. Parents of Children with Autism Spectrum Disorders: Intervention with and for Them
5. Applications of Machine Learning to Assist the Diagnosis of Autism Spectrum Disorder
6. Potential Approaches and recent advances in biomarker discovery in autism spectrum disorder
7. Detection and Identification of warning signs of autism spectrum disorder: instruments and strategies for its application
8. Machine Learning in Autism Spectrum Disorder Diagnosis and treatment: techniques and applications
9. Inhibition of LSD1 Enzyme activity by TAK-418 as a novel therapy for autism
10. Behavioral Phenotype features of Autism Spectrum Disorder
11. Development of an animated infographic about autism spectrum disorder
12. Fundamentals of Machine Learning modelling in Behavioral screening and diagnosis of autism spectrum disorder
13. A comprehensive study on Atlas-based classification of autism spectrum disorder using functional connectivity features from resting state fMRI
14. Event-related potentials and gamma oscillations in EEG as functional diagnostic biomarkers and outcomes in autism spectrum disorder treatment research
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