A brief overview on analysis and feature extraction of electroencephalogram signals

N Behzadfar - Signal Processing and Renewable Energy, 2022 - spre.stb.iau.ir
Human brain cells are active even during sleep and communicate through electrical
impulses. Electroencephalogram (EEG) signals can be used to extract the correct …

[HTML][HTML] Utilizing Phase Locking Value to Determine Neurofeedback Treatment Responsiveness in Attention Deficit Hyperactivity Disorder

MR Yousefi, N Khanahmadi… - Journal of Integrative …, 2024 - imrpress.com
Background: Neurofeedback is a non-invasive brain training technique used to enhance
and treat hyperactivity disorder by altering the patterns of brain activity. Nonetheless, the …

[PDF][PDF] Using a New Hybrid Method for Characteristics Classifying of Limb Movements in Brain-Computer Interface Applications

M Iyzadpanahi, M Yousefi… - International Journal of …, 2023 - research.iaun.ac.ir
The interface between brain and computer has received increasing attention in the last
decade of scientific progress. The most common use of this type of technology is the direct …

[PDF][PDF] Automatic Control of Anesthesia During Surgery Using Fuzzy Controller

M Goodarzian, MR Yousefi… - Journal of Applied …, 2022 - jadsc.aliabad.iau.ir
Creating the desired depth of anesthesia is done by controlling the amount of anesthetic
drug applied to the patient. Applying an excessive amount of anesthetic causes the patient …

[PDF][PDF] Analysis and Processing of Electroencephalogram Signals in Diagnosis of Fatigue during Neurofeedback Training

M Dorvashi, N Behzadfar - Iranian Journal of Biomedical Engineering, 2022 - ijbme.org
Early detection of fatigue helps to improve the quality and effectiveness of neurofeedback
training. Diagnosis of fatigue using the EEG signal of participants during neurofeedback …

[PDF][PDF] Identification of Attention Deficit Hyperactivity Disorder Patients Using Wavelet-Based Features of EEG Signals

SK Shahraki, M Khezri - journals.iau.ir
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a neurological and psychiatric
disorder which causes to attention deficit, anxiety, hyperactivity and impulsive behaviors …

شناسایی بیماران نقص توجه-بیش فعال با استفاده از ویژگی‌های برمبنای موجک سیگنال‌های EEG

کریمی شهرکی, خضری - روش‌های هوشمند در صنعت برق, 2021‎ - journals.iau.ir
اختلال توجه-بیش فعالی (ADHD)، نوعی بیماری روانی توسعه عصبی است که باعث عدم توجه،
اضطراب، بیش فعالی و رفتارهای تکانشگری فرد می‌شود. این بیماری بیشتر درکودکان دیده …