BCI: A historical analysis and technology comparison

Brain computer interfaces have been evolving through time, as time passes and new technologies and devices appear, brain computer interfacing suffers the impact of these new technologies. Even though some technologies like MEG or fMRI may enhance BCI capabilities, they present disadvantages; therefore a BCI technology comparison is presented in this paper in order to mention the advantages and disadvantages that each technology provides.

[1]  G. Cocorullo,et al.  A novel ICA-based hardware system for reconfigurable and portable BCI , 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

[2]  Rizwan Bashirullah Low power microsystems for brain computer interfaces , 2011, 2011 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems.

[3]  Brahim Hamadicharef Brain-Computer Interface (BCI) literature - a bibliometric study , 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

[4]  Redwan Alqasemi,et al.  Control of a 9-DoF Wheelchair-Mounted Robotic Arm System , 2023, Proceedings of the 20th Florida Conference on Recent Advances in Robotics.

[5]  E. Donchin,et al.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.

[6]  Heba Lakany,et al.  Human Behavior Integration Improves Classification Rates in Real-Time BCI , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  E. Donchin,et al.  EEG-based communication: prospects and problems. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[8]  Wolfgang Grodd,et al.  Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) , 2004, IEEE Transactions on Biomedical Engineering.

[9]  Xuedong Chen,et al.  Towards multi-dimensional robotic control via noninvasive brain-computer interface , 2009, 2009 ICME International Conference on Complex Medical Engineering.

[10]  Jianfeng Hu,et al.  Design and application of brain-computer interface web browser based on VEP , 2009, 2009 International Conference on Future BioMedical Information Engineering (FBIE).

[11]  Christian Laugier,et al.  Controlling a Wheelchair Indoors Using Thought , 2007, IEEE Intelligent Systems.

[12]  E Donchin,et al.  Brain-computer interface technology: a review of the first international meeting. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  J.J. Vidal,et al.  Real-time detection of brain events in EEG , 1977, Proceedings of the IEEE.

[14]  Sercan Taha Ahi,et al.  A Dictionary-Driven P300 Speller With a Modified Interface , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[15]  G. Vecchiato,et al.  A hybrid platform based on EOG and EEG signals to restore communication for patients afflicted with progressive motor neuron diseases , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Kuo-Kai Shyu,et al.  Development of a Low-Cost FPGA-Based SSVEP BCI Multimedia Control System. , 2010, IEEE transactions on biomedical circuits and systems.

[17]  N. Birbaumer,et al.  fMRI Brain-Computer Interfaces , 2008, IEEE Signal Processing Magazine.

[18]  Jianjun Wang,et al.  A review of the commercial brain-computer interface technology from perspective of industrial robotics , 2010, 2010 IEEE International Conference on Automation and Logistics.

[19]  D J McFarland,et al.  An EEG-based brain-computer interface for cursor control. , 1991, Electroencephalography and clinical neurophysiology.