Browse > Article

Design of Computer Access Devices for Severly Motor-disability Using Bio-potentials  

Jung, Sung-Jae (강원대학교 제어계측학과)
Kim, Myung-Dong (강원대학교 제어계측학과)
Park, Chan-Won (강원대학교 전기전자공학부)
Kim, Il-Hwan (강원대학교 전기전자공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.55, no.11, 2006 , pp. 502-510 More about this Journal
Abstract
In this paper, we describe implementation of a computer access device for the severly motor-disability. Many people with severe motor disabilities need an augmentative communication technology. Those who are totally paralyzed, or 'locked-in' cannot use conventional augmentative technologies, all of which require some measure of muscle control. The forehead is often the last site to suffer degradation in cases of severe disability and degenerative disease. For example, In ALS(Amyotrophic Lateral Sclerosis) and MD(Muscular dystrophy) the ocular motorneurons and ocular muscles are usually spared permitting at least gross eye movements, but not precise eye pointing. We use brain and body forehead bio-potentials in a novel way to generate multiple signals for computer control inputs. A bio-amplifier within this device separates the forehead signal into three frequency channels. The lowest channel is responsive to bio-potentials resulting from an eye motion, and second channel is the band pass derived between 0.5 and 45Hz, falling within the accepted Electroencephalographic(EEG) range. A digital processing station subdivides this region into eleven components frequency bands using FFT algorithm. The third channel is defined as an Electromyographic(EMG) signal. It responds to contractions of facial muscles and is well suited to discrete on/off switch closures, keyboard commands. These signals are transmitted to a PC that analyzes in a time series and a frequency region and discriminates user's intentions. That software graphically displays user's bio-potential signals in the real time, therefore user can see their own bio-potentials and control their physiological signals little by little after some training sessions. As a result, we confirmed the performance and availability of the developed system with experimental user's bio-potentials.
Keywords
bio-potentials; EEG; EMG; EOG; FFT;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Datasheet of ATmega128, Atmel, Available http://www.atmel.com
2 J.R Wolpaw, D.J.McFarland, and T.M.Vaughan, 'Brain-computer interfaces research at the Wadsworth center,' IEEE Trans. Rehab. Eng, vol. 8, pp. 222-226, June 2000   DOI   ScienceOn
3 이경일,안보섭,박정제,이승하,조진호,김명남 '포터블 뇌파바이오피드백 시스템을 위한 전치증폭기 및 DSP 하드웨어의 설계',센서학회지 제12군 제13호,2003년 5월
4 'The Scientist and Engineer's Guide to Digital Signal Processing', Available: http://www.dspguide.com/pdfbook.htm
5 J.D. Bronzino. Principles of Electroencephalography, In : J.D. Bronzino ed. The Biomedical Engineerng Handbook, pp. 201-212, 1995
6 Zhang Zuoseng. Chen Weiming, 'Development of EEG biofeedback system and research of the biofeedback in the alpha frequency band' Engineering in Medicine and Biology Society. 1988. Proceedings of the Annual International Conference of the IEEE. vol. 3. pp. 1482-1483, 1988   DOI
7 A. Kubler, B. Kotchoubey, T. Hinterberger, N. Ghanayim, J. Perelmouter, M. Schauer, C. Fritsch, E. Taub, and N. Birbaumer, 'The thought translation device: A neurophysiological approach to communication in total motor paralysis,' Exp. Brain Res., vol, 124, no. 2, pp. 223-232, Jan. 1999   DOI
8 Gerwin Schalk, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, and Jonathan R.Wolpaw,' BCI200: A General-Purpose Brain-Computer Interface (BCI) System,' IEEE Trans, Biomedical Eng., vol. 51, No.6, June 2004   DOI   ScienceOn
9 M.Teplan, 'Fundamentals of EEG Measurement', Measurement Science Review, Vol. 2. Section 2, 2002
10 G.Pfurscheller. D. flotzinger, and J.Kalcher, 'BrainComputer Interface - A new communication device for handicapped persons,' J. Microcomput. Applicat., vol.16, pp. 293-299, 1993   DOI   ScienceOn
11 J.R.Wolpaw, N.Birbaumer, D.J. McFarland, G.PfurscheHer, and T.M. Vaughan. 'Brain-Computer Interfaces for communication and control', Electroenceph. Clin. Neurophyssiol., vol. 113, no. 6, pp. 767-791, June 2002
12 E.Niedermeyer, F.H.Lopes da Silva. Electroencephalog-raphy:Basic principles, clinical applications and related fields, 3rd edition, Lippincott, Williams & Wilkins, Philadelphia, 1993