146 related articles for article (PubMed ID: 22255655)
61. Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.
Hsu WY
Clin EEG Neurosci; 2013 Oct; 44(4):257-64. PubMed ID: 23536381
[TBL] [Abstract][Full Text] [Related]
62. Steady-state movement related potentials for brain computer interfacing.
Nazarpour K; Praamstra P; Miall R; Sanei S
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5310-3. PubMed ID: 19163916
[TBL] [Abstract][Full Text] [Related]
63. Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interface.
Suminski AJ; Willett FR; Fagg AH; Bodenhamer M; Hatsopoulos NG
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5802-6. PubMed ID: 22255659
[TBL] [Abstract][Full Text] [Related]
64. A semi-supervised SVM learning algorithm for joint feature extraction and classification in brain computer interfaces.
Li Y; Guan C
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2570-3. PubMed ID: 17945723
[TBL] [Abstract][Full Text] [Related]
65. Classification of motor imagery BCI using multivariate empirical mode decomposition.
Park C; Looney D; Naveed ur Rehman ; Ahrabian A; Mandic DP
IEEE Trans Neural Syst Rehabil Eng; 2013 Jan; 21(1):10-22. PubMed ID: 23204288
[TBL] [Abstract][Full Text] [Related]
66. Creating a nonparametric brain-computer interface with neural time-series prediction preprocessing.
Coyle D; McGinnity TM; Prasad G
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2183-6. PubMed ID: 17946502
[TBL] [Abstract][Full Text] [Related]
67. Conditional random fields as classifiers for three-class motor-imagery brain-computer interfaces.
Hasan BA; Gan JQ
J Neural Eng; 2011 Apr; 8(2):025013. PubMed ID: 21436518
[TBL] [Abstract][Full Text] [Related]
68. EEG features extraction for motor imagery.
Cososchi S; Strungaru R; Ungureanu A; Ungureanu M
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1142-5. PubMed ID: 17945624
[TBL] [Abstract][Full Text] [Related]
69. The use of EEG modifications due to motor imagery for brain-computer interfaces.
Cincotti F; Mattia D; Babiloni C; Carducci F; Salinari S; Bianchi L; Marciani MG; Babiloni F
IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):131-3. PubMed ID: 12899254
[TBL] [Abstract][Full Text] [Related]
70. Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals.
Kim JH; Bießmann F; Lee SW
IEEE Trans Neural Syst Rehabil Eng; 2015 Sep; 23(5):867-76. PubMed ID: 25474811
[TBL] [Abstract][Full Text] [Related]
71. Phase synchrony measurement in motor cortex for classifying single-trial EEG during motor imagery.
Wang Y; Hong B; Gao X; Gao S
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():75-8. PubMed ID: 17945570
[TBL] [Abstract][Full Text] [Related]
72. Robust filter bank common spatial pattern (RFBCSP) in motor-imagery-based brain-computer interface.
Ang KK; Chin ZY; Zhang H; Guan C
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():578-81. PubMed ID: 19963715
[TBL] [Abstract][Full Text] [Related]
73. Classification of the intention to generate a shoulder versus elbow torque by means of a time-frequency synthesized spatial patterns BCI algorithm.
Deng J; Yao J; Dewald JP
J Neural Eng; 2005 Dec; 2(4):131-8. PubMed ID: 16317237
[TBL] [Abstract][Full Text] [Related]
74. BCI Competition 2003--Data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG.
Wang Y; Zhang Z; Li Y; Gao X; Gao S; Yang F
IEEE Trans Biomed Eng; 2004 Jun; 51(6):1081-6. PubMed ID: 15188883
[TBL] [Abstract][Full Text] [Related]
75. An analysis of performance evaluation for motor-imagery based BCI.
Thomas E; Dyson M; Clerc M
J Neural Eng; 2013 Jun; 10(3):031001. PubMed ID: 23639955
[TBL] [Abstract][Full Text] [Related]
76. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.
Kübler A; Nijboer F; Mellinger J; Vaughan TM; Pawelzik H; Schalk G; McFarland DJ; Birbaumer N; Wolpaw JR
Neurology; 2005 May; 64(10):1775-7. PubMed ID: 15911809
[TBL] [Abstract][Full Text] [Related]
77. 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]
78. Using a hybrid brain computer interface and virtual reality system to monitor and promote cortical reorganization through motor activity and motor imagery training.
Bermúdez i Badia S; García Morgade A; Samaha H; Verschure PF
IEEE Trans Neural Syst Rehabil Eng; 2013 Mar; 21(2):174-81. PubMed ID: 23204287
[TBL] [Abstract][Full Text] [Related]
79. 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]
80. 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]
[Previous] [Next] [New Search]