Eeg-Based Experiment Design for Major Depressive Disorder Machine Learning and Psychiatric Diagnosis
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- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
Fr. 179.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
17.05.2019
Verlag
Elsevier Science & TechnologySeitenzahl
254
Maße (L/B/H)
22.6/15.2/1.5 cm
Gewicht
431 g
Sprache
Englisch
ISBN
978-0-12-817420-3
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.
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