0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Diagnosis of Depression Based on New Features Extractive from the Frequency Space of the EEG
Authors :
Melika Changizi
1
Saeid Rashidi
2
1- Faculty of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Faculty of Medical Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran
Keywords :
Classification،Depression،EEG،Spectral Features،Window Duration
Abstract :
Major depressive disorder (MDD) is a prevalent psychotic disorder. Understanding the neurophysiological characteristics of MDD is very important in diagnostic and therapeutic applications. The use of electroencephalography (EEG) is being developed to identify brain activity mechanisms in MDD patients. The present study aimed to examine the efficacy of spectral features extracted from EEG signals based on reductionism and relativism methods in the diagnosis of MDD. Using the Welch analysis method, the best results were calculated with 6 optimal frequency features corresponding to 5 channels on 12-second segments. Using the K-Nearest Neighbor classifier, criteria such as accuracy, F1 score and Kappa were obtained as 86.79%, 85.71% and 0.73 respectively.
Papers List
List of archived papers
Android Malware Detection using Supervised Deep Graph Representation Learning
Fatemeh Deldar - Mahdi Abadi - Mohammad Ebrahimifard
DPRNN-FORMER: AN EFFICIENT WAY TO DEAL WITH BLIND SOURCE SEPARATION
Ramin Ghorbani - Sajad Haghzad Klidbary
A novel hybrid DMHS-GMDH algorithm to predict COVID-19 pandemic time series
Ahmad Taheri - Shahriar Ghashghaei - Amin Beheshti - Keyvan RahimiZadeh
Joint ADC-less Analog Demodulator and Decoder for Extended Binary (8, 4, 4) Hamming Channel Code
Mir Mahdi Safari - Jafar Pourrostam - Behzad Mozaffari Tazehkand
Driving Violation Detection Using Vehicle Data and Environmental Conditions
Masood Ghasemi - Mahmood Fathy - Mohammad Shahverdy
EEMC: Energy Efficient Multi-Clustering Using Grey Wolf Optimizer in WSNs
Maryam Ghorbanvirdi - Sayyed Majid Mazinani
An Efficient Planning Method for Autonomous Navigation of a Wheeled-Robot based on Deep Reinforcement Learning
Ali Salimi Sadr - Mahdi Shahbazi Khojasteh - Hamed Malek - Armin Salimi-Badr
AgeNet-AT: An End-to-End Model for Robust Joint Speaker Age Estimation and Gender Recognition Based on Attention Mechanism and Titanet
Mahsa Zamani Tarashandeh - Amirhossein Torkanloo - Mohammad Hossein Moattar
Multi-Task Transformer for Stock Market Trend Prediction
Seyed Morteza Mirjebreili - Ata Solouki - Hamidreza Soltanalizadeh - Mohammad Sabokrou
Optimization Resource Allocation in NOMA-based Fog Computing with a Hybrid Algorithm
Zohreh Torki - S.Mojtaba Matinkhah
more
Samin Hamayesh - Version 41.7.6