0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Applying Parameter-Oriented Learning to Identify Statistical EEG Features Associated with Depression
نویسندگان :
Sara Bargi Barkouk
1
Melika Changizi
2
Mahdi Zolfagharzadeh Kermani
3
Ali Asadi Zeidabadi
4
1- دانشگاه ازاد اسلامی واحد علوم و تحقیقات
2- دانشگاه ازاد اسلامی واحد علوم و تحقیقات
3- دانشگاه ازاد اسلامی واحد علوم و تحقیقات
4- دانشگاه ازاد اسلامی واحد علوم و تحقیقات
کلمات کلیدی :
computational parameters،depression،detection system،electroencephalogram،statistical features
چکیده :
Major Depressive Disorder (MDD) is a prevalent mental health condition with a complex neurophysiological basis. Identifying unique patterns of brain activity associated with MDD, with a special focus on electroencephalography (EEG), enables the ability to identify mental disorders by increasing the understanding of functional brain mechanisms. The present study introduces an innovative approach to design a depression detection system based on parameter-oriented learning. This approach results in developing a detection system using statistical features extracted from EEG signals. For this purpose, the processing unit of the system was first defined as a combination of calculation parameters, including long window duration, short window duration, and the temporal overlap percentage between periods, and then the measurement of statistical features extracted from the EEG signal was optimized based on these parameters. The best results were calculated using the five optimum features, which were related to four channels, along with the use of the K-Nearest Neighbors (K-NN) classifier, which resulted in obtaining the accuracy, F1-score, and area under curve (AUC) as 95.85%, 95.40%, and 95.78%, respectively.
لیست مقالات
لیست مقالات بایگانی شده
طراحی کنترلکننده مد لغزشی دینامیک برای سیستم تعلیق فعال غیر خطی با عملگر غیرایدهآل
مونا عظیمی - الهه مرادی
Adaptive dynamic programming for kinematic control of 3 interconnected wheeled mobile robots
Aliakbar Ghasemzadeh - Roya Amjadifard - Ali Keymasi Khalaji
Design and Practical Implementation of Internal Model Controller for Temperature Regulation of Thermoelectric Cell
Parastoo Kamali - Sanaz Iman Shayan - Mahshid Mousapour - Fatemeh Abdolsamadi - Salar Zeinali - Sadra Rafatnia
Batch(offline) Reinforcement Learning for recommender system
Mohammad Amir Rezaei Gazik - Mehdy Roayaei
Dual-Branch Cross-Parallel Transformer Model for Single-Channel Speech Enhancement
Mohammad Hakimkhah - Rahil Mahdian Toroghi - Hassan Zareian
A reinforcement learning-based control approach for tracking problem of a class of nonlinear systems: Applied to a Single-Link Manipulator
Farshad Rahimi - Sepideh Ziaei - Reza Mahboobi Esfanjani
A Single-Switch Single-Inductor High Step-Up DC-DC Converter with Single-Input and Dual-Output Ports
Ali Nadermohammadi - Saed Mahmoud Alilou - Mohammad Maalandish - Seyed Hossein Hosseini - Mehdi Abapour - Kazrm Zare
A New Approach to Determine Maximum Allowable Penetration level of LSPVPPs Considering Transient Angle Stability
Siavash Yari - Hamid Khoshkhoo
طراحی یک کنترلکننده غیرخطی تطبیقی غیرمتمرکز برای تنظیم ولتاژ ریزشبکههای DC در حالت جزیرهای
سمیه بهرامی - فاطمه صفایی
Recurrence Quantification and Machine Learning: A Novel Approach for Parkinson’s Disease Diagnosis from EEG Signals
Asghar Zarei - Alireza Talesh Jafadideh
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2