Autism Autonomy: In Search of Our Human Dignity provides a new and unifying methodological framework and discusses machine learning and biometrics techniques to diagnose, characterize, and treat patterns of sensory motor control underlying autism symptoms. With the hope of improving basic research in these areas, this volume will allow readers to design better interventions and provide awareness of a number of new technologies used in the autism field. Wearable bio-sensing technologies, machine learning, and AI methods are all discussed regarding their applications to provide better self-awareness, interaction, diagnosis, and prognosis. This volume is useful for researchers and clinicians interested in learning about these new technologies and how to enhance machine learning use in ASD for the betterment of patients. Describes advanced tools and techniques from machine learning and biometrics to diagnose and treat autism Provides methods and their implementation using real data and simple computer programs for diagnosis and prognosis Presents the methods used to quantify social and individual neurobiological phenomena explained and implemented Chapters contain links to a companion website containing the computer code in MATLAB®/PythonTM languages and the data samples to generate the graphics displayed on the figures for each chapter
Objective Biometric Methods for the Diagnosis and Treatment of Nervous System Disorders provides a new and unifying methodological framework, introducing new objective biometrics to characterize patterns of sensory motor control underlying symptoms. Its goal is to radically transform the ways in which disorders of the nervous system are currently diagnosed, tracked, researched and treated. This book introduces new ways to bring the laboratory to the clinical setting, to schools and to settings of occupational and physical therapy. Ready-to-use, graphic user interfaces are introduced to provide outcome measures from wearable sensors that automatically assess in near real time the effectiveness of interventions. Lastly, examples of how the new framework has been effectively utilized in the context of clinical trials are provided. Provides methods and their implementation using real data and simple computer programs that students and researchers from less technically trained fields can use Describes the motivation for methods according to the problem domain in light of existing methods for each chapter, along with their lack of neuroscientific foundation and invalid statistical assumptions Accompanied by a companion website which contains Appendices with MATLAB codes and data samples to generate the graphics displayed in all chapter figures Features videos illustrating the experimental set up for scenarios and methods described in each chapter Includes step-by-step explanations of paradigms in each clinical or typical sample population to enable reproducibility of the study across different clinical phenotypes and levels of expertise in sports, the performing arts, or mere individual academic predispositions/preferences
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