242 related articles for article (PubMed ID: 31717412)
1. Classification of Motor Functions from Electroencephalogram (EEG) Signals Based on an Integrated Method Comprised of Common Spatial Pattern and Wavelet Transform Framework.
Yahya N; Musa H; Ong ZY; Elamvazuthi I
Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31717412
[TBL] [Abstract][Full Text] [Related]
2. The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification.
Zhang S; Zhu Z; Zhang B; Feng B; Yu T; Li Z
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842635
[TBL] [Abstract][Full Text] [Related]
3. Multi-band spatial feature extraction and classification for motor imaging EEG signals based on OSFBCSP-GAO-SVM model : EEG signal processing.
Shang Y; Gao X; An A
Med Biol Eng Comput; 2023 Jun; 61(6):1581-1602. PubMed ID: 36813927
[TBL] [Abstract][Full Text] [Related]
4. A single-joint multi-task motor imagery EEG signal recognition method based on Empirical Wavelet and Multi-Kernel Extreme Learning Machine.
Guan S; Cong L; Wang F; Dong T
J Neurosci Methods; 2024 Jul; 407():110136. PubMed ID: 38642806
[TBL] [Abstract][Full Text] [Related]
5. A Fused Multidimensional EEG Classification Method Based on an Extreme Tree Feature Selection.
Lin R; Dong C; Ma P; Ma S; Chen X; Liu H
Comput Intell Neurosci; 2022; 2022():7609196. PubMed ID: 35978888
[TBL] [Abstract][Full Text] [Related]
6. Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns.
Liao SC; Wu CT; Huang HC; Cheng WT; Liu YH
Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28613237
[TBL] [Abstract][Full Text] [Related]
7. Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative study.
Jamil M; Aziz MZ; Yu X
Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38599183
[TBL] [Abstract][Full Text] [Related]
8. VR motion sickness recognition by using EEG rhythm energy ratio based on wavelet packet transform.
Li X; Zhu C; Xu C; Zhu J; Li Y; Wu S
Comput Methods Programs Biomed; 2020 May; 188():105266. PubMed ID: 31865095
[TBL] [Abstract][Full Text] [Related]
9. Decoding olfactory EEG signals for different odor stimuli identification using wavelet-spatial domain feature.
Zhang XN; Meng QH; Zeng M; Hou HR
J Neurosci Methods; 2021 Nov; 363():109355. PubMed ID: 34506866
[TBL] [Abstract][Full Text] [Related]
10. Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns.
Mohseni M; Shalchyan V; Jochumsen M; Niazi IK
Comput Methods Programs Biomed; 2020 Jan; 183():105076. PubMed ID: 31546195
[TBL] [Abstract][Full Text] [Related]
11. Class discrepancy-guided sub-band filter-based common spatial pattern for motor imagery classification.
Luo J; Wang J; Xu R; Xu K
J Neurosci Methods; 2019 Jul; 323():98-107. PubMed ID: 31141703
[TBL] [Abstract][Full Text] [Related]
12. Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
Dong E; Li C; Li L; Du S; Belkacem AN; Chen C
Med Biol Eng Comput; 2017 Oct; 55(10):1809-1818. PubMed ID: 28238175
[TBL] [Abstract][Full Text] [Related]
13. Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG.
Bai O; Lin P; Vorbach S; Li J; Furlani S; Hallett M
Clin Neurophysiol; 2007 Dec; 118(12):2637-55. PubMed ID: 17967559
[TBL] [Abstract][Full Text] [Related]
14. CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
Kumar S; Mamun K; Sharma A
Comput Biol Med; 2017 Dec; 91():231-242. PubMed ID: 29100117
[TBL] [Abstract][Full Text] [Related]
15. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
[TBL] [Abstract][Full Text] [Related]
16. EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques.
Alturki FA; AlSharabi K; Abdurraqeeb AM; Aljalal M
Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32354161
[TBL] [Abstract][Full Text] [Related]
17. Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis.
Antony MJ; Sankaralingam BP; Mahendran RK; Gardezi AA; Shafiq M; Choi JG; Hamam H
Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236694
[TBL] [Abstract][Full Text] [Related]
18. Motor imagery classification using geodesic filtering common spatial pattern and filter-bank feature weighted support vector machine.
Wang F; Xu Z; Zhang W; Wu S; Zhang Y; Ping J; Wu C
Rev Sci Instrum; 2020 Mar; 91(3):034106. PubMed ID: 32259927
[TBL] [Abstract][Full Text] [Related]
19. Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms.
Liu R; Zhang Z; Duan F; Zhou X; Meng Z
Comput Intell Neurosci; 2017; 2017():2727856. PubMed ID: 28874909
[TBL] [Abstract][Full Text] [Related]
20. Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method.
Taran S; Bajaj V
Comput Methods Programs Biomed; 2019 May; 173():157-165. PubMed ID: 31046991
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]