BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

406 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]
    of 21.