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EEG-Based Experiment Design for Major Depressive Disorder

- Machine Learning and Psychiatric Diagnosis

  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

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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Detaljer
  • SprogEngelsk
  • Sidetal254
  • Udgivelsesdato17-05-2019
  • ISBN139780128174203
  • Forlag Academic Press Inc
  • FormatPaperback
Størrelse og vægt
  • Vægt450 g
  • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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