Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Bibliografiske detaljer
Main Authors:	Saleque, Shahriar, Spriha, Gul-A-Zannat, Kamal, MD Rasheeq Ishraq, Khan, Rafia Tabassum
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	MDD Absolute delta power LR SVM NB EEG Machine learning. Image processing.
Online adgang:	http://hdl.handle.net/10361/14724

Lignende værker

A review on major depressive disorder
af: Sadia, Mumtahina
Udgivet: (2024)

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
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Udgivet: (2022)

Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
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Udgivet: (2019)

Depression: a major global concern?
af: Samiullah, Md.
Udgivet: (2018)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
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Udgivet: (2021)

Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
af: Islam, Mohammad Waseq ul, et al.
Udgivet: (2021)

Public Health Perspectives on Depressive Disorders
af: Cohen

Exploring cognitive load and emotional states for the visually impaired
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Udgivet: (2019)

Depression and Drugs
af: Katz
Udgivet: (2013)

Depression Folk
af: Cohen

Digital Depression
af: Schiller

Depression and Anxiety

Detection of mind wandering using EEG signals
af: Tasika, Nadia Jebin, et al.
Udgivet: (2020)

Beyond words: an exploration of free-hand sketches and EEG-based neurobiological signatures to unveil the underlying depression among cancer patients
af: Miami, Anika Tahsin, et al.
Udgivet: (2023)

Efficacy of sertraline in the treatment of major depressive disorder smong adult population: a systematic review
af: Maha, Tasfiah Tasnim
Udgivet: (2024)

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Udgivet: (1985)

Repetitive Transcranial Magnetic Stimulation Treatment for Depressive Disorders
af: Fitzgerald
Udgivet: (2013)

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af: Jansson
Udgivet: (2021)

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af: Blue

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af: Bindas

Charleston and the Great Depression
af: Taylor

The return of depression economics /
af: Krugman, Paul R.
Udgivet: (1999)

Mayo Clinic on depression /
Udgivet: (2001)

Deposit product survey and brand elements of Delta Brac Housing Finance Corporation Ltd.
af: Rahman, Md. Mahbub-Ur
Udgivet: (2014)

EEG signals analysis for motor imagery brain computer interface
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Udgivet: (2019)

Detection and classification of speed limit traffic signs
af: Biswas, Rubel, et al.
Udgivet: (2017)

Depression & Anxiety (1091-4269)

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af: Reed

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
af: Esha, Ishraq Ahmed, et al.
Udgivet: (2023)

Gender-based Violence and Depression in Women
af: Western
Udgivet: (2013)

Behavioral Neurobiology of Depression and Its Treatment
Udgivet: (2013)

Bar Yarns and Manic-Depressive Mixtapes
af: Walsh

Depression Research and Treatment | Hindawi Limited

Depression Research and Treatment | Hindawi Limited

Releasing children from depression : a handbook for elementary teachers and consultants /
af: Butler, Lenora F. (Lenora Frances), 1943-
Udgivet: (1980)

Performance analysis of intrusion detection systems using the PyCaret machine learning library on the UNSW-NB15 dataset
af: Abdullah, et al.
Udgivet: (2021)

Factor analysis of ad liking and prediction of purchase intent through emotionomics
af: Toma, Syeda Tanzina Farhin, et al.
Udgivet: (2020)

Screening for Depression and Other Psychological Problems in Diabetes
Udgivet: (2013)

Darkness, Depression, and Descent in Anglo-Saxon England
af: Wehlau