The applied principles of EEG analysis methods in neuroscience and clinical neurology
H Zhang, QQ Zhou, H Chen, XQ Hu, WG Li, Y Bai… - Military Medical …, 2023 - Springer
Electroencephalography (EEG) is a non-invasive measurement method for brain activity.
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …
Due to its safety, high resolution, and hypersensitivity to dynamic changes in brain neural …
Automated diagnosis of autism: in search of a mathematical marker
Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion,
learning ability, and communication of an individual. An early detection of the abnormality …
learning ability, and communication of an individual. An early detection of the abnormality …
[PDF][PDF] 面向情绪识别的脑电特征研究综述
张冠华, 余旻婧, 陈果, 韩义恒, 张丹… - 中国科学: 信息 …, 2019 - cg.cs.tsinghua.edu.cn
摘要情绪是人对外界事物产生的心理和生理反应. 准确地识别情绪在人机交互研究中占据着重要
位置, 其成果可应用在医学, 教育, 心理, 军事等方向. 由于脑电信号具有客观, 不易伪装等特点 …
位置, 其成果可应用在医学, 教育, 心理, 军事等方向. 由于脑电信号具有客观, 不易伪装等特点 …
[PDF][PDF] Diagnosis autism by fisher linear discriminant analysis FLDA via EEG
MJ Alhaddad, MI Kamel, HM Malibary… - International Journal of …, 2012 - academia.edu
Diagnosis of autism is one of the difficult problems facing researchers. In this paper,
Electroencephalogram (EEG) based Autism diagnosis using Fisher Linear Discriminat (FLD) …
Electroencephalogram (EEG) based Autism diagnosis using Fisher Linear Discriminat (FLD) …
Domain-specific denoising diffusion probabilistic models for brain dynamics
The differences in brain dynamics across human subjects, commonly referred to as human
artifacts, have long been a challenge in the field, severely limiting the generalizability of …
artifacts, have long been a challenge in the field, severely limiting the generalizability of …
[PDF][PDF] Feature extraction methods for electroencephalography based brain-computer interface: a review
Introduction: A brain-computer interface (BCI) is a rapidly growing cutting-edge technology
in which a communication pathway is built between the human brain and computer. The BCI …
in which a communication pathway is built between the human brain and computer. The BCI …
[PDF][PDF] Features extraction techniques of EEG signal for BCI applications
ABR Suleiman, TAH Fatehi - Faculty of Computer and …, 2007 - researchgate.net
The use of Electroencephalogram (EEG) signals in the field of Brain Computer Interface
(BCI) have obtained a lot of interest with diverse applications ranging from medicine to …
(BCI) have obtained a lot of interest with diverse applications ranging from medicine to …
Detection of epileptic seizures using eeg signals
Epilepsy is a neurological disorder which causes abnormal brain activity such as seizures.
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …
Electroencephalogram (EEG) signals are recordings of the electrical activity of brain, which …
EEG signal with feature extraction using SVM and ICA classifiers
PN Kumar, H Kareemullah - International Conference on …, 2014 - ieeexplore.ieee.org
Identifying artifacts in EEG data produced by the neurons in brain is an important task in
EEG signal processing research. These artifacts are corrected before further analyzing. In …
EEG signal processing research. These artifacts are corrected before further analyzing. In …
Analysis methods of EEG signals: a review in EEG application for brain disorder
F Abd Rahman, MF Othman, NA Shaharuddin - Jurnal Teknologi, 2015 - journals.utm.my
The electroencephalograph (EEG) is a medical modality that plays crucial roles in detecting,
displaying and recording electrical activity in the brain. This paper reviews the analysis …
displaying and recording electrical activity in the brain. This paper reviews the analysis …