Application and Development of Brain-Computer Interface in Health and Public Health

Dear Colleagues,

The brain–computer interface (BCI) challenge was introduced by Vidal (1973) [1] as a challenge regarding the use of brain signals to control objects outside the human body. Some of the pioneering applications were using VEP to control a cursor object on a screen [2], using CNV potential to control a buzzer [3], using a brain rhythm to control a physical object [4], and using P300 to type a text on a screen [5]. The first medical applications using SSVEP were reported in the 1990s [6,7]. The 21st century is experiencing growing research and applications in the field of BCI systems.

This Special Issue is devoted to the application of BCI in the field of health and public health. It covers not only the areas of standard medical issues such as paraplegic trauma, but also non-medical issues such as meditation and other health related issues.

Authors and researchers are invited to contribute to this Special Issue on BCI applications in health and public health. Original, unpublished research is of primary interest. However, surveys in this field as well as reflections on pioneering works are also welcome.

References

1. Vidal J. Toward direct brain-computer communication. Annual Rev. Biophys. Bioeng. 1973, 2, 157–180.
2. Vidal J. Real-time detection of brain events in EEG. Proc IEEE. 1977, 65, 633–641.
3. Bozinovska L., Stojanov G., Sestakov M. and Bozinovski S. CNV pattern recognition–A step toward a cognitive wave observation. In Signal processing: theories and applications. Proc. 5th European Signal Processing Conference (EUSIPCO 90); Barcelona, Spain, 1990.
4. Bozinovski S., Sestakov M. and Bozinovska L. Using EEG alpha rhythm to control a mobile robot. In Proc. 10th Annual Conference of the IEEE Engineering in Medicine and Biology Society, track 17, Biorobotics, New Orleans, LA, USA, 1988.
5. Farwell L. and Donchin. D. Talking off the top of your head: a mental prosthesis utilizing event-related brain potentials. Clinical Neurophysiology 1988, 70, 510–523.
6. Sutter E.E. The brain response interface: communication through visually-induced electrical brain responses. J. Microcomputer Applications, 1992, 15, 1–45
7. Cilliers P., van der Kouwe A. A VEP-based computer interface for C2-quadriplegics, In Proc. 15th Annual Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, 1993

Prof. Dr. Stevo Bozinovski
Guest Editor

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• Brain–Computer Interface

• intention-based and response-based BCIs

• non-invasive and invasive BCI

• BCI controlled devices (assistive robotics, wheelchairs, exoskeletons, typewriters, etc.)

• BCI in neurosis, epilepsy, trauma, and other medical conditions