撤回：基于脑电图（EEG）样本熵和功率谱的静息状态分类。
Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).
作者信息
And Biomechanics Applied Bionics
出版信息
Appl Bionics Biomech. 2023 Oct 11;2023:9759506. doi: 10.1155/2023/9759506. eCollection 2023.
Abstract
[This retracts the article DOI: 10.1155/2020/8853238.].
摘要
[本文撤回文章DOI: 10.1155/2020/8853238。]
相似文献
1
Retracted: Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).撤回：基于脑电图（EEG）样本熵和功率谱的静息状态分类。
Appl Bionics Biomech. 2023 Oct 11;2023:9759506. doi: 10.1155/2023/9759506. eCollection 2023.
2
Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).基于脑电图（EEG）样本熵和功率谱的静息状态分类
Appl Bionics Biomech. 2020 Nov 10;2020:8853238. doi: 10.1155/2020/8853238. eCollection 2020.
3
Retracted: Classification of Lactate Level Using Resting-State EEG Measurements.撤回：利用静息态脑电图测量对乳酸水平进行分类。
Appl Bionics Biomech. 2023 Oct 11;2023:9846843. doi: 10.1155/2023/9846843. eCollection 2023.
4
Retracted: Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal.撤回：气味剂的复杂性和熵对脑电图信号分形动力学和熵的影响分析
Biomed Res Int. 2018 Feb 21;2018:2358107. doi: 10.1155/2018/2358107. eCollection 2018.
5
Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary study.使用非线性单变量和多变量 EEG 测量诊断注意缺陷多动障碍：一项初步研究。
Phys Eng Sci Med. 2020 Jun;43(2):577-592. doi: 10.1007/s13246-020-00858-3. Epub 2020 Mar 27.
6
EEG signal classification of tinnitus based on SVM and sample entropy.基于支持向量机和样本熵的耳鸣脑电信号分类
Comput Methods Biomech Biomed Engin. 2023 Apr;26(5):580-594. doi: 10.1080/10255842.2022.2075698. Epub 2022 Jul 19.
7
Recent Advances in Resting-State Electroencephalography Biomarkers for Autism Spectrum Disorder-A Review of Methodological and Clinical Challenges.自闭症谱系障碍静息态脑电图生物标志物的最新进展——方法学与临床挑战综述
Pediatr Neurol. 2016 Aug;61:28-37. doi: 10.1016/j.pediatrneurol.2016.03.010. Epub 2016 Apr 1.
8
Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study.基于模糊熵的动态静息态网络的脑变异性：头皮 EEG 研究。
J Neural Eng. 2021 Jul 5;18(4). doi: 10.1088/1741-2552/ac0d41.
9
Retracted: Brain Network for Exploring the Change of Brain Neurotransmitter 5-Hydroxytryptamine of Autism Children by Resting-State EEG.撤回：通过静息态脑电图探索自闭症儿童脑内神经递质5-羟色胺变化的脑网络
Comput Math Methods Med. 2023 Dec 13;2023:9865892. doi: 10.1155/2023/9865892. eCollection 2023.
10
Effects of force load, muscle fatigue and extremely low frequency magnetic stimulation on EEG signals during side arm lateral raise task.侧臂侧举任务中力负荷、肌肉疲劳和极低频磁刺激对脑电图信号的影响。
Physiol Meas. 2017 May;38(5):745-758. doi: 10.1088/1361-6579/aa6b4b. Epub 2017 Apr 4.
本文引用的文献
1
Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).基于脑电图（EEG）样本熵和功率谱的静息状态分类
Appl Bionics Biomech. 2020 Nov 10;2020:8853238. doi: 10.1155/2020/8853238. eCollection 2020.
Zotero 插件