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.
130 related articles for article (PubMed ID: 39074021)
1. A Hybrid BCI Integrating EEG and Eye-Tracking for Assisting Clinical Communication in Patients With Disorders of Consciousness. Yi Z; Pan J; Chen Z; Lu D; Cai H; Li J; Xie Q IEEE Trans Neural Syst Rehabil Eng; 2024; 32():2759-2771. PubMed ID: 39074021 [TBL] [Abstract][Full Text] [Related]
2. An Auditory BCI System for Assisting CRS-R Behavioral Assessment in Patients with Disorders of Consciousness. Xiao J; Xie Q; He Y; Yu T; Lu S; Huang N; Yu R; Li Y Sci Rep; 2016 Sep; 6():32917. PubMed ID: 27620348 [TBL] [Abstract][Full Text] [Related]
3. Enhancing clinical communication assessments using an audiovisual BCI for patients with disorders of consciousness. Wang F; He Y; Qu J; Xie Q; Lin Q; Ni X; Chen Y; Pan J; Laureys S; Yu R; Li Y J Neural Eng; 2017 Aug; 14(4):046024. PubMed ID: 28393761 [TBL] [Abstract][Full Text] [Related]
4. A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness. Xie Q; Pan J; Chen Y; He Y; Ni X; Zhang J; Wang F; Li Y; Yu R BMC Neurol; 2018 Oct; 18(1):144. PubMed ID: 30296948 [TBL] [Abstract][Full Text] [Related]
5. Probing command following in patients with disorders of consciousness using a brain-computer interface. Lulé D; Noirhomme Q; Kleih SC; Chatelle C; Halder S; Demertzi A; Bruno MA; Gosseries O; Vanhaudenhuyse A; Schnakers C; Thonnard M; Soddu A; Kübler A; Laureys S Clin Neurophysiol; 2013 Jan; 124(1):101-6. PubMed ID: 22920562 [TBL] [Abstract][Full Text] [Related]
6. An audiovisual BCI system for assisting clinical communication assessment in patients with disorders of consciousness: a case study. Fei Wang ; Yanbin He ; Jun Qu ; Qiuyou Xie ; Qing Lin ; Xiaoxiao Ni ; Yan Chen ; Ronghao Yu ; Chin-Teng Lin ; Yuanqing Li Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1536-1539. PubMed ID: 28268619 [TBL] [Abstract][Full Text] [Related]
8. Hybrid asynchronous brain-computer interface for yes/no communication in patients with disorders of consciousness. Huang J; Qiu L; Lin Q; Xiao J; Huang Y; Huang H; Zhou X; Shi X; Wang F; He Y; Pan J J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33735851 [No Abstract] [Full Text] [Related]
9. Detecting awareness in patients with disorders of consciousness using a hybrid brain-computer interface. Pan J; Xie Q; He Y; Wang F; Di H; Laureys S; Yu R; Li Y J Neural Eng; 2014 Oct; 11(5):056007. PubMed ID: 25082743 [TBL] [Abstract][Full Text] [Related]
10. Toward Assessment of Sound Localization in Disorders of Consciousness Using a Hybrid Audiovisual Brain-Computer Interface. Xiao J; He Y; Yu T; Pan J; Xie Q; Cao C; Zheng H; Huang W; Gu Z; Yu Z; Li Y IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1422-1432. PubMed ID: 35584066 [TBL] [Abstract][Full Text] [Related]
11. A Brain-Computer Interface Based on Three-Dimensional Stereo Stimuli for Assisting Clinical Object Recognition Assessment in Patients With Disorders of Consciousness. Wang F; He Y; Qu J; Cao Y; Liu Y; Li F; Yu Z; Yu R; Li Y IEEE Trans Neural Syst Rehabil Eng; 2019 Mar; 27(3):507-513. PubMed ID: 30714927 [TBL] [Abstract][Full Text] [Related]
12. A vibrotactile p300-based brain-computer interface for consciousness detection and communication. Lugo ZR; Rodriguez J; Lechner A; Ortner R; Gantner IS; Laureys S; Noirhomme Q; Guger C Clin EEG Neurosci; 2014 Jan; 45(1):14-21. PubMed ID: 24415400 [TBL] [Abstract][Full Text] [Related]
13. Feasibility of an EEG-based brain-computer interface in the intensive care unit. Chatelle C; Spencer CA; Cash SS; Hochberg LR; Edlow BL Clin Neurophysiol; 2018 Aug; 129(8):1519-1525. PubMed ID: 29804044 [TBL] [Abstract][Full Text] [Related]
14. A hybrid BCI speller paradigm combining P300 potential and the SSVEP blocking feature. Xu M; Qi H; Wan B; Yin T; Liu Z; Ming D J Neural Eng; 2013 Apr; 10(2):026001. PubMed ID: 23369924 [TBL] [Abstract][Full Text] [Related]
15. Visual Fixation Assessment in Patients with Disorders of Consciousness Based on Brain-Computer Interface. Xiao J; Pan J; He Y; Xie Q; Yu T; Huang H; Lv W; Zhang J; Yu R; Li Y Neurosci Bull; 2018 Aug; 34(4):679-690. PubMed ID: 30014347 [TBL] [Abstract][Full Text] [Related]
16. Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study. Mainsah BO; Collins LM; Colwell KA; Sellers EW; Ryan DB; Caves K; Throckmorton CS J Neural Eng; 2015 Feb; 12(1):016013. PubMed ID: 25588137 [TBL] [Abstract][Full Text] [Related]
18. Assessment of Visual Pursuit in Patients With Disorders of Consciousness Based on a Brain-Computer Interface. Xiao J; Xie Q; Lin Q; Yu T; Yu R; Li Y IEEE Trans Neural Syst Rehabil Eng; 2018 Jun; 26(6):1141-1151. PubMed ID: 29877838 [TBL] [Abstract][Full Text] [Related]
19. Stimuli and Feature Extraction Algorithms for Brain-Computer Interfaces: A Systematic Comparison. Bittencourt-Villalpando M; Maurits NM IEEE Trans Neural Syst Rehabil Eng; 2018 Sep; 26(9):1669-1679. PubMed ID: 30010581 [TBL] [Abstract][Full Text] [Related]