135 related articles for article (PubMed ID: 33266204)
1. An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG.
Li M; Wang R; Xu D
Entropy (Basel); 2020 Nov; 22(12):. PubMed ID: 33266204
[TBL] [Abstract][Full Text] [Related]
2. An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction.
Li M; Wang R; Yang J; Duan L
Comput Intell Neurosci; 2019; 2019():7529572. PubMed ID: 31049051
[TBL] [Abstract][Full Text] [Related]
3. Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing.
Liu Q; Pan H; Zheng J; Tong J; Bao J
Entropy (Basel); 2019 Mar; 21(3):. PubMed ID: 33267007
[TBL] [Abstract][Full Text] [Related]
4. Fuzzy support vector machine with joint optimization of genetic algorithm and fuzzy c-means.
Li MA; Wang RT; Wei LN
Technol Health Care; 2021; 29(5):921-937. PubMed ID: 33459673
[TBL] [Abstract][Full Text] [Related]
5. Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing.
Yuan Q; Lv M; Zhou R; Liu H; Liang C; Cheng L
Entropy (Basel); 2023 Jul; 25(7):. PubMed ID: 37509995
[TBL] [Abstract][Full Text] [Related]
6. Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.
Hsu WY
Int J Neural Syst; 2015 Dec; 25(8):1550037. PubMed ID: 26584583
[TBL] [Abstract][Full Text] [Related]
7. [Weighted multiple multiscale entropy and its application in electroencephalography analysis of autism assessment].
Li X; An Z; Li Q; Shi C; Zhang J; Kang J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Feb; 36(1):33-39. PubMed ID: 30887774
[TBL] [Abstract][Full Text] [Related]
8. Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification.
Li F; Fan Y; Zhang X; Wang C; Hu F; Jia W; Hui H
J Med Syst; 2019 Dec; 44(2):39. PubMed ID: 31865469
[TBL] [Abstract][Full Text] [Related]
9. Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy.
Yan X; Xu Y; Jia M
Entropy (Basel); 2021 Aug; 23(9):. PubMed ID: 34573753
[TBL] [Abstract][Full Text] [Related]
10. Automatic feature extraction and fusion recognition of motor imagery EEG using multilevel multiscale CNN.
Li MA; Han JF; Yang JF
Med Biol Eng Comput; 2021 Oct; 59(10):2037-2050. PubMed ID: 34424453
[TBL] [Abstract][Full Text] [Related]
11. Generalized refined composite multiscale fuzzy entropy and multi-cluster feature selection based intelligent fault diagnosis of rolling bearing.
Zheng J; Pan H; Tong J; Liu Q
ISA Trans; 2022 Apr; 123():136-151. PubMed ID: 34103159
[TBL] [Abstract][Full Text] [Related]
12. Motor imagery classification method based on relative wavelet packet entropy brain network and improved lasso.
Wang M; Zhou H; Li X; Chen S; Gao D; Zhang Y
Front Neurosci; 2023; 17():1113593. PubMed ID: 36816135
[TBL] [Abstract][Full Text] [Related]
13. A New
Wu F; Gong A; Li H; Zhao L; Zhang W; Fu Y
Front Hum Neurosci; 2021; 15():595723. PubMed ID: 33762911
[No Abstract] [Full Text] [Related]
14. Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs.
Degirmenci M; Yuce YK; Perc M; Isler Y
Front Hum Neurosci; 2023; 17():1223307. PubMed ID: 37497042
[TBL] [Abstract][Full Text] [Related]
15. Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls.
Erguzel TT; Uyulan C; Unsalver B; Evrensel A; Cebi M; Noyan CO; Metin B; Eryilmaz G; Sayar GH; Tarhan N
Clin EEG Neurosci; 2020 Nov; 51(6):373-381. PubMed ID: 32043373
[TBL] [Abstract][Full Text] [Related]
16. Multiscale permutation Rényi entropy and its application for EEG signals.
Yin Y; Sun K; He S
PLoS One; 2018; 13(9):e0202558. PubMed ID: 30180194
[TBL] [Abstract][Full Text] [Related]
17. Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy.
Lv Z; Han S; Peng L; Yang L; Cao Y
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746283
[TBL] [Abstract][Full Text] [Related]
18. Comparison of EEG measurement of upper limb movement in motor imagery training system.
Suwannarat A; Pan-Ngum S; Israsena P
Biomed Eng Online; 2018 Aug; 17(1):103. PubMed ID: 30071853
[TBL] [Abstract][Full Text] [Related]
19. EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation.
Al-Qazzaz NK; Alyasseri ZAA; Abdulkareem KH; Ali NS; Al-Mhiqani MN; Guger C
Comput Biol Med; 2021 Oct; 137():104799. PubMed ID: 34478922
[TBL] [Abstract][Full Text] [Related]
20. Study of MI-BCI classification method based on the Riemannian transform of personalized EEG spatiotemporal features.
Ding X; Yang L; Li C
Math Biosci Eng; 2023 May; 20(7):12454-12471. PubMed ID: 37501450
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
