Aamir Saeed Malik, Wajid Mumtaz

EEG-Based Experiment Design for Major Depressive Disorder (eBook, ePUB)

Machine Learning and Psychiatric Diagnosis

• Format: ePub

Produktbeschreibung

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.

• Written to assist in neuroscience experiment design using EEG
• Provides a step-by-step approach for designing clinical experiments using EEG
• Includes example datasets for affected individuals and healthy controls
• Lists inclusion and exclusion criteria to help identify experiment subjects
• Features appendices detailing subjective tests for screening patients
• Examines applications for personalized treatment decisions

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 254
• Erscheinungstermin: 16. Mai 2019
• Englisch
• ISBN-13: 9780128174210
• Artikelnr.: 56783225

Autorenporträt

Dr. Malik has a B.S. in Electrical Engineering from University of Engineering and Technology, Lahore, Pakistan, M.S in Nuclear Engineering from Quaid-i-Azam University, Islamabad, Pakistan, another M.S in Information & Communication and Ph.D in Information & Mechatronics from Gwangju Institute of Science & Technology, Gwangju, Korea. He has more than 15 years of research experience and has worked for IBM, Hamdard University, Government of Pakistan, Yeungnam University and Hanyang University in Korea. He is currently working as Associate Professor at Universiti Teknologi PETRONAS in Malaysia. He is fellow of IET and senior member of IEEE. He is board member of Asia Pacific Neurofeedback Association (APNA) and member of Malaysia Society of Neuroscience (MSN). His research interests include neuro-signal & neuro-image processing and neuroscience big data analytics. He is author of 3 books and a number of international journal and conference papers with more than 1000 citations and cumulative impact factor of more than 180. He has a number of patents, copyrights and awards.

Inhaltsangabe

1. Introduction: Depression and Challenges2. EEG Fundamentals3. EEG-Based Brain Functional Connectivity and Clinical Implications4. Pathophysiology of Depression5. Using EEG for Diagnosing and Treating Depression6. Neural Circuits and EEG Based Neurobiology for Depression7. Design of EEG Experiment for Assessing MDD8. EEG-based Diagnosis of Depression9. EEG-based Treatment Efficacy Assessment Involving Depression