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01-01-2016 | Systems-Level Quality Improvement

Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments

Authors: Eda Akman Aydın, Ömer Faruk Bay, İnan Güler

Published in: Journal of Medical Systems | Issue 1/2016

Abstract

Brain Computer Interface (BCI) based environment control systems could facilitate life of people with neuromuscular diseases, reduces dependence on their caregivers, and improves their quality of life. As well as easy usage, low-cost, and robust system performance, mobility is an important functionality expected from a practical BCI system in real life. In this study, in order to enhance users' mobility, we propose internet based wireless communication between BCI system and home environment. We designed and implemented a prototype of an embedded low-cost, low power, easy to use web server which is employed in internet based wireless control of a BCI based home environment. The embedded web server provides remote access to the environmental control module through BCI and web interfaces. While the proposed system offers to BCI users enhanced mobility, it also provides remote control of the home environment by caregivers as well as the individuals in initial stages of neuromuscular disease. The input of BCI system is P300 potentials. We used Region Based Paradigm (RBP) as stimulus interface. Performance of the BCI system is evaluated on data recorded from 8 non-disabled subjects. The experimental results indicate that the proposed web server enables internet based wireless control of electrical home appliances successfully through BCIs.

Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., and Vaughan, T.M., Brain–computer interfaces for communication and control. Clinical Neurophysiology. 113:767–791, 2002.PubMedCrossRef

Mak, J.N., and Wolpaw, J.R., Clinical Applications of Brain-Computer Interfaces: current state and future prospects. IEEE Rev Biomed Eng. 2:187–199, 2009.PubMedPubMedCentralCrossRef

Fabiani, G.E., et al., Conversion of EEG activity into cursor movement by a brain–computer interface (BCI). IEEE Transactions on Neural Systems and Rehabilitation Engineering. 12(3):331–338, 2004.PubMedCrossRef

Mugler, M.E., et al., Design and implementation of a P300-based brain-computer interface for controlling an internet browser. IEEE Transactıons on Neural Systems and Rehabilitation Engineering. 18(6):599–609, 2010.PubMedCrossRef

Rebsamen, B., et al., Controlling a wheelchair indoors using thought. IEEE Intelligent Systems. 22(2):18–24, 2007.CrossRef

Müller-Putz, G.R., and Pfurtscheller, G., Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Transactions on Biomedical Engineering. 55(1):361–364, 2008.PubMedCrossRef

Ortner, R., et al., An SSVEP BCI to control a hand orthosis for persons with tetraplegia. IEEE Transactıons on Neural Systems and Rehabilitation Engineering. 19(1):1–5, 2011.PubMedCrossRef

Cincotti, D.M., Aloise, F., Bufalari, S., Schalk, G., Oriolo, G., Cherubini, A., Marciani, M.G., and Babiloni, F., Non-invasive brain–computer interface system: towards its application as assistive technology. Brain Research Bulletin. 75:796–803, 2008.PubMedPubMedCentralCrossRef

Gao, X., Xu, D., Cheng, M., and Gao, S., A BCI-based environmental controller for the motion-disabled. IEEE Transactions on Neural Systems And Rehabilitation Engineering. 11(2):137–140, 2003.PubMedCrossRef

10.

Aloise, F., Schettini, F., Arico, P., Leotta, F., Salinari, S., Mattia, D., Babiloni, F., and Cincotti, F., P300-based brain–computer interface for environmental control: an asynchronous approach. Journal of Neural Engineering. 8:025025, 2001.CrossRef

11.

Lin, C.T., Lin, B.S., Lin, F.C., and Chang, C.J., Brain computer interface-based smart living environmental auto-adjustment control system in UPnP home networking. IEEE Systems Journal. 8(2):363–370, 2014.CrossRef

12.

Bayliss, J.D., Use of the evoked potential P3 component for control in a virtual apartment. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11(2):113–116, 2003.PubMedCrossRef

13.

Aloise, F., Schettini, F., Aricò, P., Salinari, S., Guger, C., Rinsma, J., Aiello, M., Mattia, D., and Cincotti, F., Asynchronous P300-based brain-computer interface to control a virtual environment: initial tests on end users. Clinical EEG and Neuroscience. 42(4):219–224, 2011.PubMedCrossRef

14.

Guger, C., Holzner, C., Grönegress, C., Edlinger, G., Slater, M., Control of a Smart Home with a Brain-Computer Interface. 3rd BCI Workshop at University of Techonogy Graz, 2008.

15.

Holzner, C., Guger, C., Edlinger, G., Grönegress, C., Slater, M., Virtual Smart Home Controlled by Thoughts. 18th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, Netherlands, 236–239, 2009.

16.

Guger, C., Holzner, C., Groenegress, C., Edlinger, G., Slater, M., Brain-computer interface for virtual reality control. ESANN-2009, Belgium, 443–448, 2009.

17.

Holzner, C., Guger, C., Grönegress, C., Edlinger, G., and Slater, M., Using a P300 brain computer interface for smart home control. World Congress on Medical Physics and Biomedical Engineering, Munich, pp. 174–177, 2009.

18.

Aloise, F., Schettini, F., Aricò, P, Bianchi, L, Riccio, A, Mecella, M, Babiloni, F, Mattia, D, Cincotti, F., Advanced Brain computer interface for communication and control. International Conference on Advanced Visual Interfaces-AVI’10, New York, 399–400, 2010.

19.

Corralejo, R., Nicolas-Alonso, L.F., Álvarez, D., and Hornero, R., A P300-based brain–computer interface aimed at operating electronic devices at home for severely disabled people. Medical & Biological Engineering & Computing. 52:861–872, 2014.CrossRef

20.

Aiello, M., Aloise, F., Baldoni, R., Cincotti, F., Guger, C., Lazovik, A., Mecella, M., Pucci, P., Rinsma, J., Santucci, G., Taglieri, M., Smart homes to improve the quality of life for all. IEEE Eng Med Biol Soc, Boston, 1777–1780, 2011.

21.

Gao, S., Wang, Y., Gao, X., and Hong, B., Visual and auditory brain-computer interfaces. IEEE Transactions on Biomedical Engineering. 61(5):1436–1447, 2014.PubMedCrossRef

22.

Lee, S., Shin, Y., Woo, S., Kim, K., Lee, HN., Review of wireless brain-computer interface systems in brain-computer interface systems – recent progress and future prospects, InTech 215-233, 2013.

23.

Miralles, F., Vargiu, E., Dauwalder, S., Solà, M., Müller-Putz, G., Wriessnegger, S. C., Pinegger, A., Kübler, A., Halder, S., Käthner, I., Martin, S., Daly, J., Armstrong, E., Guger, C., Hintermüller, C., Lowish, H., Brain computer interface on track to home. Scientific World Journal 623896, 2015.

24.

Aydın, E. A., Bay, Ö. F., Güler, İ., Region Based Brain Computer Interface for A Home Control Application. 37th Annual Internatıonal Conference of the IEEE Engineering in Medicine and Biology Society, Milano, 1075–1078, 2015.

25.

Min, B.K., Marzelli, M.J., and Yoo, S.S., Neuroimaging-based approaches in the brain–computer interface. Trends in Biotechnology. 28(11):552–560, 2010.PubMedCrossRef

26.

Amiri, S., Rezai, R.F., and Asadpour, V., A review of hybrid brain-computer interface systems. Advances in Human-Computer Interaction. 2013:187024, 2013.CrossRef

27.

Polich, J., Updating P300: an integrative theory of P3a and P3b. Clin Neurophysiol. 118(10):2128–2148, 2007.PubMedPubMedCentralCrossRef

28.

Farwell, L.A., and Donchin, E., Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology. 70:510–523, 1988.PubMedCrossRef

29.

Guan, C., Thulasidas, M., Wu, J., High Performance P300 Speller For Brain-Computer Interface. IEEE International Workshop on Biomedical Circuits & Systems S3/5/INV-S3/13–S3/5/INV-S3/16, 2004.

30.

Xu, Y., and Nakajima, Y., A two-level predictive event-related potential-based brain–computer interface. IEEE Transactions on Biomedical Engineering. 60(10):2839–2847, 2013.PubMedCrossRef

31.

Luo, G., and Min, W., Distance-constrained orthogonal Latin squares for brain-computer interface. Journal of Medical Systems. 36:159–166, 2012.PubMedCrossRef

32.

Rezai, R.F., and Abhari, K., A region-based P300 speller for brain-computer interface. Canadian Journal of Electrical and Computer Engineering. 34(3):81–85, 2009.CrossRef

33.

Rakotomamonj, A., and Guigue, V., BCI competition III: dataset II- ensemble of SVMs for BCI P300 speller. IEEE Transactions on Biomedical Engineering. 55(3):1147–1154, 2008.CrossRef

34.

Abootalebi, V., Moradi, M.H., and Khalilzadehc, M.A., A new approach for EEG feature extraction in P300-based lie detection. Computer Methods and Programs in Biomedicine. 94:48–57, 2009.PubMedCrossRef

35.

Salvaris, M., Sepulveda, F., Wavelets and Ensemble of FLDs for P300 Classification. 4th International IEEE EMBS Conference on Neural Engineering, Turkey, 399–342, 2009.

36.

Aydın, E. A., Bay, Ö. F., Güler, İ., Classification of P300 Event Related Potentials with Discrete Wavelet Transform. 23rd IEEE Conference on Signal Processing and Communication Applications, Malatya, Turkey, 1200–1203, 2015.

37.

Lotte, F., Congedo, M., Lecuyer, A., Lamarche, F., and Arnaldi, B., A review of classification algorithms for EEG-based brain–computer interfaces. Journal of Neural Engineering. 4:R1–R13, 2007.PubMedCrossRef

38.

Krusienski, D.J., Sellers, E.W., Cabestaing, F., Bayoudh, S., McFarland, D.J., Vaughan, T.M., and Wolpaw, J.R., A comparison of classification techniques for the P300 speller. Journal of Neural Engineering. 3:299–305, 2006.PubMedCrossRef

39.

Thompson, D.E., et al., Performance measurement for brain–computer or brain–machine interfaces: a tutorial. Journal of Neural Engineering. 11:035001, 2014.PubMedPubMedCentralCrossRef

Title: Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments
Authors: Eda Akman Aydın
Ömer Faruk Bay
İnan Güler
Publication date: 01-01-2016
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 1/2016
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-015-0386-0

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Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home Environments

Abstract

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