222 related articles for article (PubMed ID: 24737062)
1. Classification of motor imagery performance in acute stroke.
Tangwiriyasakul C; Mocioiu V; van Putten MJ; Rutten WL
J Neural Eng; 2014 Jun; 11(3):036001. PubMed ID: 24737062
[TBL] [Abstract][Full Text] [Related]
2. A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training.
Liu Y; Zhang H; Chen M; Zhang L
IEEE Trans Neural Syst Rehabil Eng; 2016 Jan; 24(1):169-79. PubMed ID: 26302519
[TBL] [Abstract][Full Text] [Related]
3. Detection of motor imagery of swallow EEG signals based on the dual-tree complex wavelet transform and adaptive model selection.
Yang H; Guan C; Chua KS; Chok SS; Wang CC; Soon PK; Tang CK; Ang KK
J Neural Eng; 2014 Jun; 11(3):035016. PubMed ID: 24836742
[TBL] [Abstract][Full Text] [Related]
4. Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG.
Jochumsen M; Niazi IK; Taylor D; Farina D; Dremstrup K
J Neural Eng; 2015 Oct; 12(5):056013. PubMed ID: 26305233
[TBL] [Abstract][Full Text] [Related]
5. A tensor-based scheme for stroke patients' motor imagery EEG analysis in BCI-FES rehabilitation training.
Liu Y; Li M; Zhang H; Wang H; Li J; Jia J; Wu Y; Zhang L
J Neurosci Methods; 2014 Jan; 222():238-49. PubMed ID: 24280103
[TBL] [Abstract][Full Text] [Related]
6. An EEG channel selection method for motor imagery based brain-computer interface and neurofeedback using Granger causality.
Varsehi H; Firoozabadi SMP
Neural Netw; 2021 Jan; 133():193-206. PubMed ID: 33220643
[TBL] [Abstract][Full Text] [Related]
7. Binary particle swarm optimization for frequency band selection in motor imagery based brain-computer interfaces.
Wei Q; Wei Z
Biomed Mater Eng; 2015; 26 Suppl 1():S1523-32. PubMed ID: 26405916
[TBL] [Abstract][Full Text] [Related]
8. Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy.
Müller-Putz GR; Daly I; Kaiser V
J Neural Eng; 2014 Jun; 11(3):035011. PubMed ID: 24835837
[TBL] [Abstract][Full Text] [Related]
9. Time sparsification of EEG signals in motor-imagery based brain computer interfaces.
Higashi H; Tanaka T
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4271-4. PubMed ID: 23366871
[TBL] [Abstract][Full Text] [Related]
10. Active data selection for motor imagery EEG classification.
Tomida N; Tanaka T; Ono S; Yamagishi M; Higashi H
IEEE Trans Biomed Eng; 2015 Feb; 62(2):458-67. PubMed ID: 25248173
[TBL] [Abstract][Full Text] [Related]
11. Enhancing the performance of motor imagery EEG classification using phase features.
Hsu WY
Clin EEG Neurosci; 2015 Apr; 46(2):113-8. PubMed ID: 25404753
[TBL] [Abstract][Full Text] [Related]
12. Channel selection by genetic algorithms for classifying single-trial ECoG during motor imagery.
Wei Q; Tu W
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():624-7. PubMed ID: 19162733
[TBL] [Abstract][Full Text] [Related]
13. Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings.
Ince NF; Arica S; Tewfik A
J Neural Eng; 2006 Sep; 3(3):235-44. PubMed ID: 16921207
[TBL] [Abstract][Full Text] [Related]
14. Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients.
Antelis JM; Montesano L; Ramos-Murguialday A; Birbaumer N; Minguez J
IEEE Trans Biomed Eng; 2017 Jan; 64(1):99-111. PubMed ID: 27046866
[TBL] [Abstract][Full Text] [Related]
15. Characterization of four-class motor imagery EEG data for the BCI-competition 2005.
Schlögl A; Lee F; Bischof H; Pfurtscheller G
J Neural Eng; 2005 Dec; 2(4):L14-22. PubMed ID: 16317224
[TBL] [Abstract][Full Text] [Related]
16. Trial pruning for classification of single-trial EEG data during motor imagery.
Wang B; Wong C; Wan F; Mak PU; Mak PI; Vai MI
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4666-9. PubMed ID: 21096242
[TBL] [Abstract][Full Text] [Related]
17. Uncorrelated multiway discriminant analysis for motor imagery EEG classification.
Liu Y; Zhao Q; Zhang L
Int J Neural Syst; 2015 Jun; 25(4):1550013. PubMed ID: 25986750
[TBL] [Abstract][Full Text] [Related]
18. Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain-computer interface.
Zhang S; Zheng Y; Wang D; Wang L; Ma J; Zhang J; Xu W; Li D; Zhang D
Neurosci Lett; 2017 Aug; 655():35-40. PubMed ID: 28663052
[TBL] [Abstract][Full Text] [Related]
19. Multiclass brain-computer interface classification by Riemannian geometry.
Barachant A; Bonnet S; Congedo M; Jutten C
IEEE Trans Biomed Eng; 2012 Apr; 59(4):920-8. PubMed ID: 22010143
[TBL] [Abstract][Full Text] [Related]
20. Detection of motor imagery of brisk walking from electroencephalogram.
Yang H; Guan C; Wang CC; Ang KK
J Neurosci Methods; 2015 Apr; 244():33-44. PubMed ID: 24949558
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
