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Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine

Chia-Lung Yeh, Po-Lei Lee, Wei-Ming Chen, Chun-Yen Chang, Yu-Te Wu, Gong-Yau Lan
2013 BioMedical Engineering OnLine  
Methods: This paper presents a multiclass support vector machine (SVM)-based classification approach for gaze-target detections in a phase-tagged SSVEP-based BCI.  ...  The development of classification approaches to account for each individual's difference in SSVEP is needed but was seldom reported.  ...  Acknowledgements This study was funded by the National Central University, the Center for Dynamical Biomarkers and Translational Medicine, National Science Council (99-2628-E-008-003, 99-2628-E-008-012  ... 
doi:10.1186/1475-925x-12-46 pmid:23692974 pmcid:PMC3671978 fatcat:e56qjdyiijd4lf7gqpqetkffuy

Proposal of Recognition Algorithm for Menu Selection using Steady State Visual Evoked Potential

Hidenori BOTANI, Mieko OHSUGA
2017 The Japanese Journal of Ergonomics  
This study refers to a recognition algorithm for SSVEP (Steady State Visual Evoked Potential) -based brain computer interface for menu selection.  ...  After studying the collected data, we have proposed an algorithm that compares the Z-scores of averaged SSVEP amplitudes of the left and right occipital lobe (O 1 , O 2 ) obtained by the averaging method  ...  Electronics, Circuits, and Systems, 559-562, 2010 15) Hung YW, Lee PL, et al: Accounting for phase drifts in SSVEP-based BCIs by means of biphasic stimulation, IEEE trans. on Biomedical Engineering, 58  ... 
doi:10.5100/jje.53.8 fatcat:lv4nyffuobcbna6hcvy7rwxs24

Bayesian Sequential Learning for EEG-Based BCI Classification Problems [chapter]

S. Shigezumi, H. Hara, H. Namba, C. Serizawa, Y. Dobashi, A. Takemoto, K. Nakamura, T. Matsumoto
2013 Brain-Computer Interface Systems - Recent Progress and Future Prospects  
Brain-Computer Interface Systems -Recent Progress and Future Prospects Bayesian Sequential Learning for EEG-Based BCI Classification Problems http://dx.  ...  This paper proposes a Bayesian sequential learning algorithm for steady-state visual evoked potential (SSVEP) classification problems in a principled manner.  ...  Doucet for valuable comments. Author details S. Shigezumi 1 , H. Hara 1 , H. Namba 1 , C. Serizawa 1 , Y. Dobashi 1 , A. Takemoto 2 , K. Nakamura 2 and T. Matsumoto 1  ... 
doi:10.5772/56146 fatcat:vnkk5bisnjb2holrt3lzyifjw4

Transösophageales Interventrikuläres Delay bei Vorhofflimmern und Kardialer Resynchronisation

M. Heinke, B. Ismer, H. Kühnert, T. Heinke, G. Dannberg, H. R. Figulla
2013 Biomedical Engineering  
In particular, electrode setups are chosen to comply with constraints for female patients in the catheter lab.  ...  To facilitate the reconstruction, an MRI-or CT-based model of the body is required, which is represented as a volume conductor.  ...  Our gratitude also extends to the Centre for Promotion of Science, as the organizers of Festival of robotics 2012, without which these experiments wouldn't be possible in this extent.  ... 
doi:10.1515/bmt-2013-4154 pmid:24042832 fatcat:qsbz2z3utva6rery74jfw66pe4

ECoG correlates of visuomotor transformation, neural plasticity, and application to a force-based brain computer interface

Jordan John Williams
We wish to address whether a force-based BCI is a viable control signal for applications such as functional neuromuscular stimulation of paralyzed limbs.  ...  With this in mind, we wish to expand on our current line of experiments by developing a force-based BCI that may be more suitable for prosthetic applications.  ... 
doi:10.7936/k72j68v5 fatcat:rwg2avhqozgd3k7uiu4khjj3ym

Adaptive hand neuroprosthesis using inertial sensors for real-time motion tracking [article]

Christina Salchow-Hömmen, Technische Universität Berlin, Thomas Schauer, Jörg Raisch
The limited selectivity of transcutaneous FES yields difficulties in achieving fine hand movements by stimulating the muscle-rich forearm.  ...  In contrast to glove-based approaches, the proposed solution maintains the sense of touch.  ...  [209] suggested a two-stage BCI approach for command control of the ES: A SSVEP-based selection of the appropriate grasp pattern for the intended object was followed by an ERD-based triggering of the  ... 
doi:10.14279/depositonce-10136 fatcat:5vwxwbbdk5fdhlrbj2rqrhl3sq