Abstract
The idea of communication through thoughts developed into reality with the growth of computer and communication technologies and the understanding of how a human brain works. One of the main benefactors of this technology and the prime reasons for development of BCI or brain–computer interface is the physically challenged section of the society which will be able to carry on with their regular activities with ease in the near future with the help of ongoing research works in BCI which are primarily focused in the area of neuroprosthetics to restore the damaged hearing, movement and sight in the patients. In this paper, a low-power brain–computer interface design is suggested. The main motive of this paper was to check whether a cost-efficient BCI system can be implemented using basic components and discuss the possible applications where such low-range devices can be of use.
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References
J.J. Vidal, Toward direct brain-computer communication. Ann. Rev. Biophys. Bioeng. 2(1), 157–180 (1973)
M.B. Khalid, N.I. Rao, I. Rizwan-i-Haque, S. Munir, F. Tahir, Towards a brain computer interface using wavelet transform with averaged and time segmented adapted wavelets, in Proceedings of the 2nd International Conference on Computer, Control and Communication (IC4’09) (Karachi, Sindh, Pakistan. February 2009), pp. 1–4
G. Kucukyildiz et al, Design and implementation of a multi sensor based brain computer interface for a robotic wheelchair. J. Intell. Robot. Syst. 1–17 (2017)
S. Rihana, T. Azar, E. Bitar, Portable EEG recording system for BCI application, in 2016 3rd Middle East Conference on Biomedical Engineering (MECBME). (IEEE, 2016)
A. Remsik et al, A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke. Expert Rev. Med. Devices 13(5), 445–454 (2016)
T.M. Vaughan, J.R. Wolpaw, The third international meeting on brain-computer interface technology: making a difference. IEEE Trans. Neural Syst. Rehabil. Eng. 14(2), 126–127 (2006)
H. Berger, Ueber das Elektrenkephalogramm des Menschen. Arch. Psychiat. 94, 16–60 (1931)
J.M.R. Delgado, W.W. Roberts, N. Miller, ELearning motivated by electrical stimulation of the brain. Am. J. Physiol. 179, 587–593 (1954)
A.A. Eshraghi et al, The cochlear implant: historical aspects and future prospects. Anat. Rec. 295(11), 1967–1980 (2012)
I. Arafat, Brain-computer interface: past, present & future (International Islamic University Chittagong (IIUC), Chittagong, Bangladesh, 2013)
T.N. Lal et al, Methods towards invasive human brain computer interfaces, in NIPS (2004)
N.E. Crone, A. Sinai, A. Korzeniewska, High-frequency gamma oscillations and human brain mapping with electrocorticography. Prog. Brain Res. 159, 275–295 (2006)
M.S. Berger et al, Low-grade gliomas associated with intractable epilepsy: seizure outcome utilizing electrocorticography during tumor resection. J. Neurosurg 79(1), 62–69 (1993)
M. Hämäläinen et al, Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev. Mod. Phys. 65(2), 413 (1993)
S.M. Stufflebeam, N. Tanaka, S.P. Ahlfors, Clinical applications of magnetoencephalography. Hum. Brain Mapp. 30(6), 1813–1823 (2009)
C.-T. Lin et al, Novel dry polymer foam electrodes for long-term EEG measurement. IEEE Trans. Biomed. Eng. 58(5), 1200–1207 (2011)
M. Schmidt, in Arduino. Pragmatic Bookshelf (2011)
Y.A. Badamasi, The working principle of an Arduino. Electronics, Computer and Computation (ICECCO), 2014 11th International Conference on. IEEE (2014)
M.M. Moore, Real-world applications for brain-computer interface technology. IEEE Trans. Neural Syst. Rehabil. Eng. 11, 162–165 (2003)
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Yadav, P., Sehgal, M., Sharma, P., Kashish, K. (2019). Design of Low-Power EEG-Based Brain–Computer Interface. In: Singh, S., Wen, F., Jain, M. (eds) Advances in System Optimization and Control. Lecture Notes in Electrical Engineering, vol 509. Springer, Singapore. https://doi.org/10.1007/978-981-13-0665-5_19
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DOI: https://doi.org/10.1007/978-981-13-0665-5_19
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