Electroencephalogram (EEG) Signal Analysis for Diagnosis of Major Depressive Disorder (MDD): A Review-Reference-Cited by-同舟云学术

Electroencephalogram (EEG) Signal Analysis for Diagnosis of Major Depressive Disorder (MDD): A Review

Published:2018-08-02 Issue: Volume: Page:323-335
ISSN:1876-1100
Container-title:Nanoelectronics, Circuits and Communication Systems
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Author:

Mahato Shalini,Paul Sanchita

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-0776-8_30

Reference32 articles.

1. Li Y, Fan F (2005) Classification of schizophrenia and depression by EEG with ANNs. In: 27th annual international conference of engineering in medicine and biology society, IEEE-EMB, 2005, pp 1–6

2. Stewart JL, Coan JA, Towers DN, Allen JJB (2014) Resting and task-elicited prefrontal EEG alpha asymmetry in depression: support for the capability model. Psychophysiology, 446–455

3. Hosseinifarda B, Moradia MH, Rostami R (2013) Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal. Comput Methods Programs Biomed 109:339–345

4. Mantri S, Agrawal P, Patil D, Wadhai V (2015) Non invasive EEG signal processing framework for real time depression analysis. In: SAI intelligent systems conference, pp 518–521

5. Fan F, Li Y, Qiu Y, Zhu Y (2005) Use of ANN and complexity measures in cognitive EEG discrimination. In: Engineering in medicine and biology society, 27th annual international conference, IEEE-EMBS, 2005, pp 1–6

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