These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
145 related articles for article (PubMed ID: 38813519)
21. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach. Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644 [TBL] [Abstract][Full Text] [Related]
22. 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]
23. Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs. Chen X; Wang Z; Wu D IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1703-1714. PubMed ID: 38648154 [TBL] [Abstract][Full Text] [Related]
24. Multi-class motor imagery EEG decoding for brain-computer interfaces. Wang D; Miao D; Blohm G Front Neurosci; 2012; 6():151. PubMed ID: 23087607 [TBL] [Abstract][Full Text] [Related]
26. Towards the Classification of Error-Related Potentials using Riemannian Geometry. Tang Y; Zhang JJ; Corballis PM; Hallum LE Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5905-5908. PubMed ID: 34892463 [TBL] [Abstract][Full Text] [Related]
27. From full calibration to zero training for a code-modulated visual evoked potentials for brain-computer interface. Thielen J; Marsman P; Farquhar J; Desain P J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33690182 [No Abstract] [Full Text] [Related]
28. A deep neural network and transfer learning combined method for cross-task classification of error-related potentials. Ren G; Kumar A; Mahmoud SS; Fang Q Front Hum Neurosci; 2024; 18():1394107. PubMed ID: 38933146 [TBL] [Abstract][Full Text] [Related]
29. A pipeline of spatio-temporal filtering for predicting the laterality of self-initiated fine movements from single trial readiness potentials. Zeid EA; Sereshkeh AR; Chau T J Neural Eng; 2016 Dec; 13(6):066012. PubMed ID: 27762239 [TBL] [Abstract][Full Text] [Related]
30. EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration. Delisle-Rodriguez D; Silva L; Bastos-Filho T J Neural Eng; 2023 Feb; 20(1):. PubMed ID: 36716494 [No Abstract] [Full Text] [Related]
31. Language Model-Guided Classifier Adaptation for Brain-Computer Interfaces for Communication. Chen XJ; Collins LM; Mainsah BO Conf Proc IEEE Int Conf Syst Man Cybern; 2022 Oct; 2022():1642-1647. PubMed ID: 36776946 [TBL] [Abstract][Full Text] [Related]
32. Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography. Choi SI; Lee JY; Lim KM; Hwang HJ Front Neurosci; 2022; 16():842635. PubMed ID: 35401092 [TBL] [Abstract][Full Text] [Related]
33. Online asynchronous detection of error-related potentials in participants with a spinal cord injury using a generic classifier. Lopes-Dias C; Sburlea AI; Breitegger K; Wyss D; Drescher H; Wildburger R; Müller-Putz GR J Neural Eng; 2021 Mar; 18(4):046022. PubMed ID: 33779576 [TBL] [Abstract][Full Text] [Related]
34. Detection of artifacts from high energy bursts in neonatal EEG. Bhattacharyya S; Biswas A; Mukherjee J; Majumdar AK; Majumdar B; Mukherjee S; Singh AK Comput Biol Med; 2013 Nov; 43(11):1804-14. PubMed ID: 24209926 [TBL] [Abstract][Full Text] [Related]
35. Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction. Alimardani M; Hiraki K Front Robot AI; 2020; 7():125. PubMed ID: 33501291 [TBL] [Abstract][Full Text] [Related]
36. Noise reduction in brainwaves by using both EEG signals and frontal viewing camera images. Bang JW; Choi JS; Park KR Sensors (Basel); 2013 May; 13(5):6272-94. PubMed ID: 23669713 [TBL] [Abstract][Full Text] [Related]
37. Simultaneous channel and feature selection of fused EEG features based on Sparse Group Lasso. Wang JJ; Xue F; Li H Biomed Res Int; 2015; 2015():703768. PubMed ID: 25802861 [TBL] [Abstract][Full Text] [Related]
39. Towards adaptive classification for BCI. Shenoy P; Krauledat M; Blankertz B; Rao RP; Müller KR J Neural Eng; 2006 Mar; 3(1):R13-23. PubMed ID: 16510936 [TBL] [Abstract][Full Text] [Related]
40. Cross-domain prediction approach of human lower limb voluntary movement intention for exoskeleton robot based on EEG signals. Dong R; Zhang X; Li H; Lu Z; Li C; Zhu A Front Bioeng Biotechnol; 2024; 12():1448903. PubMed ID: 39246298 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]