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.
402 related articles for article (PubMed ID: 25529197)
1. Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI. Hong KS; Naseer N; Kim YH Neurosci Lett; 2015 Feb; 587():87-92. PubMed ID: 25529197 [TBL] [Abstract][Full Text] [Related]
2. Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain-computer interface. Naseer N; Hong KS Neurosci Lett; 2013 Oct; 553():84-9. PubMed ID: 23973334 [TBL] [Abstract][Full Text] [Related]
3. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching. Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G J Neural Eng; 2015 Jun; 12(3):036004. PubMed ID: 25834118 [TBL] [Abstract][Full Text] [Related]
4. Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy. Power SD; Falk TH; Chau T J Neural Eng; 2010 Apr; 7(2):26002. PubMed ID: 20168001 [TBL] [Abstract][Full Text] [Related]
5. Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis. Nazeer H; Naseer N; Khan RA; Noori FM; Qureshi NK; Khan US; Khan MJ J Neural Eng; 2020 Oct; 17(5):056025. PubMed ID: 33055382 [TBL] [Abstract][Full Text] [Related]
6. Functional near-infrared spectroscopy based discrimination of mental counting and no-control state for development of a brain-computer interface. Naseer N; Hong KS Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1780-3. PubMed ID: 24110053 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Dynamic topographical pattern classification of multichannel prefrontal NIRS signals: II. Online differentiation of mental arithmetic and rest. Schudlo LC; Chau T J Neural Eng; 2014 Feb; 11(1):016003. PubMed ID: 24311057 [TBL] [Abstract][Full Text] [Related]
9. Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG. Kaiser V; Bauernfeind G; Kreilinger A; Kaufmann T; Kübler A; Neuper C; Müller-Putz GR Neuroimage; 2014 Jan; 85 Pt 1():432-44. PubMed ID: 23651839 [TBL] [Abstract][Full Text] [Related]
10. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. Sitaram R; Zhang H; Guan C; Thulasidas M; Hoshi Y; Ishikawa A; Shimizu K; Birbaumer N Neuroimage; 2007 Feb; 34(4):1416-27. PubMed ID: 17196832 [TBL] [Abstract][Full Text] [Related]
11. Single-trial classification of near-infrared spectroscopy signals arising from multiple cortical regions. Schudlo LC; Chau T Behav Brain Res; 2015 Sep; 290():131-42. PubMed ID: 25960315 [TBL] [Abstract][Full Text] [Related]
12. Towards a system-paced near-infrared spectroscopy brain-computer interface: differentiating prefrontal activity due to mental arithmetic and mental singing from the no-control state. Power SD; Kushki A; Chau T J Neural Eng; 2011 Dec; 8(6):066004. PubMed ID: 21975364 [TBL] [Abstract][Full Text] [Related]
13. Single-Trial Classification of fNIRS Signals in Four Directions Motor Imagery Tasks Measured From Prefrontal Cortex. Peng H; Chao J; Wang S; Dang J; Jiang F; Hu B; Majoe D IEEE Trans Nanobioscience; 2018 Jul; 17(3):181-190. PubMed ID: 29994315 [TBL] [Abstract][Full Text] [Related]
14. Optimal feature selection from fNIRS signals using genetic algorithms for BCI. Noori FM; Naseer N; Qureshi NK; Nazeer H; Khan RA Neurosci Lett; 2017 Apr; 647():61-66. PubMed ID: 28336339 [TBL] [Abstract][Full Text] [Related]
15. A semi-immersive virtual reality incremental swing balance task activates prefrontal cortex: a functional near-infrared spectroscopy study. Basso Moro S; Bisconti S; Muthalib M; Spezialetti M; Cutini S; Ferrari M; Placidi G; Quaresima V Neuroimage; 2014 Jan; 85 Pt 1():451-60. PubMed ID: 23684867 [TBL] [Abstract][Full Text] [Related]
16. Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI. Erdoĝan SB; Özsarfati E; Dilek B; Kadak KS; Hanoĝlu L; Akın A J Neural Eng; 2019 Apr; 16(2):026029. PubMed ID: 30634177 [TBL] [Abstract][Full Text] [Related]
17. Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification. Chiarelli AM; Croce P; Merla A; Zappasodi F J Neural Eng; 2018 Jun; 15(3):036028. PubMed ID: 29446352 [TBL] [Abstract][Full Text] [Related]
18. Automatic single-trial discrimination of mental arithmetic, mental singing and the no-control state from prefrontal activity: toward a three-state NIRS-BCI. Power SD; Kushki A; Chau T BMC Res Notes; 2012 Mar; 5():141. PubMed ID: 22414111 [TBL] [Abstract][Full Text] [Related]
19. Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces. Aydin EA Comput Methods Programs Biomed; 2020 Oct; 195():105535. PubMed ID: 32534382 [TBL] [Abstract][Full Text] [Related]
20. CNN-based classification of fNIRS signals in motor imagery BCI system. Ma T; Wang S; Xia Y; Zhu X; Evans J; Sun Y; He S J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33761480 [No Abstract] [Full Text] [Related] [Next] [New Search]