Development of Wavelet Coherence EEG as a Biomarker for Diagnosis of Major Depressive Disorder
Major depressive disorder (MDD) contributes the most to human’s functional frailty worldwide. Therefore, its timely diagnosis and treatment is of utmost importance. Conventionally, MDD is diagnosed using subjective evaluation methods, so, it is essential to develop a quantitative biomarke...
Saved in:
| Main Authors: | Khan, D.M., Masroor, K., Jailani, M.F.M., Yahya, N., Yusoff, M.Z., Khan, S.M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28994 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123384028&doi=10.1109%2fJSEN.2022.3143176&partnerID=40&md5=e8f3a51c9895f8a75f252df2d7556188 http://eprints.utp.edu.my/28994/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated Diagnosis of Major Depressive Disorder Using Brain Effective Connectivity and 3D Convolutional Neural Network
by: Khan, D.M., et al.
Published: (2021) -
Review on EEG and ERP predictive biomarkers for major depressive disorder
by: Mumtaz, W., et al.
Published: (2015) -
A wavelet-based technique to predict treatment outcome for Major Depressive Disorder
by: Mumtaz, W., et al.
Published: (2017) -
FEATURE SELECTION OF ELECTROENCEPHALOGRAPHY (EEG) BIOMARKERS FOR UNIPOLAR MAJOR DEPRESSIVE DISORDER (MDD)
by: MUMTAZ, WAJID
Published: (2016) -
Detrended fluctuation analysis for major depressive disorder
by: Mumtaz, W., et al.
Published: (2015)