ELECTROENCEPHALOGRAM

作品数:233被引量:299H指数:7
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相关领域:医药卫生更多>>
相关作者:王继军王俊戴加飞侯凤贞王慧更多>>
相关机构:华南理工大学上海交通大学贵阳中医学院陕西师范大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划福建省自然科学基金广东省自然科学基金更多>>
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Hybrid Reptile-Snake Optimizer Based Channel Selection for Enhancing Alzheimer’s Disease Detection
《Journal of Bionic Engineering》2025年第2期884-900,共17页Digambar Puri Pramod Kachare Smith Khare Ibrahim Al-Shourbaji Abdoh Jabbari Abdalla Alameen 
The global incidence of Alzheimer's Disease(AD)is on a swift rise.The Electroencephalogram(EEG)signals is an effective tool for the identification of AD and its initial Mild Cognitive Impairment(MCI)stage using machin...
关键词:Alzheimer's Disease Brain disorder ELECTROENCEPHALOGRAM Reptile Search Algorithm Snake Optimizer Optimization 
Attention Detection Using EEG Signals and Machine Learning: A Review
《Machine Intelligence Research》2025年第2期219-238,共20页Qianru Sun Yueying Zhou Peiliang Gong Daoqiang Zhang 
supported by the National Natural Science Foundation of China(Nos.62136004,62276130 and 62406131);the National Key R&D Program of China(No.2023YFF1204803);Key Research and Development Plan of Jiangsu Province,China(No.BE2022842).
Attention detection using electroencephalogram(EEG)signals has become a popular topic.However,there seems to be a notable gap in the literature regarding comprehensive and systematic reviews of machine learning method...
关键词:Attention detection electroencephalogram(EEG) machine learning deep learning brain-computer interface. 
Accurate Machine Learning‑based Monitoring of Anesthesia Depth with EEG Recording
《Neuroscience Bulletin》2025年第3期449-460,共12页Zhiyi Tu Yuehan Zhang Xueyang Lv Yanyan Wang Tingting Zhang Juan Wang Xinren Yu Pei Chen Suocheng Pang Shengtian Li Xiongjie Yu Xuan Zhao 
supported by grants from the Shanghai Municipal Health Commission(2023ZDFC0203);the National Natural Science Foundation of China(32171044).
General anesthesia,pivotal for surgical procedures,requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments.Traditional assessment methods,relyin...
关键词:ELECTROENCEPHALOGRAM PROPOFOL KETAMINE Machine learning Anesthesia monitoring 
Dissociative seizures mimicking epileptic seizures:diagnostic challenges in a case with atypical eye movements
《Acta Epileptologica》2025年第1期138-141,共4页Shimin Bao Caleb Onyenaturuchi Egbuta Jinmei Li 
Background Dissociative seizures(DS),also known as psychogenic non-epileptic seizures(PNES),often mimic epileptic seizures(ES),leading to misdiagnosis,unnecessary anti-seizure medications(ASMs)/suboptimal use of ASMs,...
关键词:Dissociative seizures Epileptic seizures Psychogenic nonepileptic seizures Video-electroencephalogram DEPRESSION Oculogyric crisis 
Neuropsychological Guided Blind Image Quality Assessment via Noisy Label Optimization
《China Communications》2025年第2期173-187,共15页Zhu Jinchi Ma Xiaoyu Liu Chang Yu Dingguo 
supported by the Medium and Long-term Science and Technology Plan for Radio,Television,and Online Audiovisuals(2023AC0200);the Public Welfare Technology Application Research Project of Zhejiang Province,China(No.LGF21F010001).
Recent deep neural network(DNN)based blind image quality assessment(BIQA)approaches take mean opinion score(MOS)as ground-truth labels,which would lead to cross-datasets biases and limited generalization ability of th...
关键词:blind image quality assessment deep neural network ELECTROENCEPHALOGRAM persistent homology 
Boosting brain-computer interface performance through cognitive training: A brain-centric approach
《Journal of Information and Intelligence》2025年第1期19-35,共17页Ziyuan Zhang Ziyu Wang Kaitai Guo Yang Zheng Minghao Dong Jimin Liang 
supported by the National Natural Science Foundation of China (U19B2030, 61976167, 62301405, 62101416);the Natural Science Basic Research Program of Shaanxi, China (2022JQ-708);Fundamental Research Funds for the Central Universities, China.
Previous efforts to boost the performance of brain-computer interfaces (BCIs) have predominantly focused on optimizing algorithms for decoding brain signals. However, the untapped potential of leveraging brain plastic...
关键词:Attentional blink(AB) Brain-computer interface(BCI) Cognitive training Electroencephalogram(EEG) Rapid serial visual presentation(RSVP) Representational discriminability 
Modulatory effects of the landscape sequences on pedestrians emotional states using EEG
《Frontiers of Architectural Research》2024年第6期1327-1341,共15页Xinyao Xiao Xinxin Li Xuefan Zhou Jian Kang Jiahua Luo Lihua Yin 
supported by the National Natural Science Foundation of China(Grant Nos.52308022,52278064).
This study aimed to investigate the impact of specific landscape elements on pedestrians’emotional experiences during walking.During the study,footages were recorded by participants while walking to obtain real-time ...
关键词:LANDSCAPE Electroencephalogram response Emotional health Time effect 
The applied principles of EEG analysis methods in neuroscience and clinical neurology
《Military Medical Research》2024年第6期907-941,共35页Hao Zhang Qing-Qi Zhou He Chen Xiao-Qing Hu Wei-Guang Li Yang Bai Jun-Xia Han Yao Wang Zhen-Hu Liang Dan Chen Feng-Yu Cong Jia-Qing Yan Xiao-Li Li 
supported by the STI2030 Major Projects(2021ZD0204300);the National Natural Science Foundation of China(61803003,62003228).
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 signals,EEG has aroused much interest in sci...
关键词:Electroencephalogram analysis methods Applied principles NEUROSCIENCE DIAGNOSIS Neurological diseases 
A Method to Extract Task-Related EEG Feature Based on Lightweight Convolutional Neural Network
《Neuroscience Bulletin》2024年第12期1915-1930,共16页Qi Huang Jing Ding Xin Wang 
supported by grants from the National Key R&D Program of China(2022YFC2503802);Science and Technology Commission of Shanghai Municipality(201409002000);the Lin Gang Laboratory(LG202106-04).
Unlocking task-related EEG spectra is crucial for neuroscience.Traditional convolutional neural networks(CNNs)effectively extract these features but face limitations like overfitting due to small datasets.To address t...
关键词:Convolutional neural network Fully connected layer INTELLIGIBILITY ELECTROENCEPHALOGRAM 
VG-DOCoT:a novel DO-Conv and transformer framework via VAE-GAN technique for EEG emotion recognition
《Frontiers of Information Technology & Electronic Engineering》2024年第11期1497-1514,共18页Yanping ZHU Lei HUANG Jixin CHEN Shenyun WANG Fayu WAN Jianan CHEN 
supported by the National Key Research and Development Program of China(No.2022YFE0122700);the National Natural Science Foundation of China(No.61971230)。
Human emotions are intricate psychological phenomena that reflect an individual’s current physiological and psychological state.Emotions have a pronounced influence on human behavior,cognition,communication,and decis...
关键词:Emotion recognition Electroencephalogram(EEG) Depthwise over-parameterized convolutional(DO-Conv) Transformer Variational automatic encoder-generative adversarial network(VAE-GAN) 
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