Eeg-Based Experiment Design for Major Depressive Disorder

Machine Learning and Psychiatric Diagnosis

von Wajid Mumtaz, Aamir Saeed Malik

254 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details for readers how to design a successful experiment, providing experiment designs for both clinical and behavioral applications. This book details the EEG-based functional connectivity correlates for several conditions, including depression, anxiety, and epilepsy, along with pathophysiology of depression, underlying neural circuits and detailed options for diagnosis. It is a necessary read for those interested in developing EEG methods for addressing challenges for mental illness and researchers exploring automated methods for diagnosis and objective treatment assessment.

• Themen: Mathematik und Naturwissenschaften Biologie, Biowissenschaften Biowissenschaften, allgemein Neurowissenschaften
• ISBN: 9780128174203
• Sprache: Englisch
• Erscheinungsdatum: 17.05.2019
• Größe: 226 x 152 mm
• Verlag: Elsevier Science