DOI QR코드

DOI QR Code

안전사고 예방을 위한 Brain-Computer Interface 기반 인지평가 도구 개발

A Development of Cognitive Assessment Tool based on Brain-Computer Interface for Accident Prevention

  • 이충기 (한국과학기술연구원 바이오닉스연구단) ;
  • 유선국 (연세대학교 의과대학 의학공학교실)
  • Lee, Chung-Ki (Bionics Research Group, Korea Institute of Science and Technology) ;
  • Yoo, Sun-Kook (Dept. of Medical Engineering, College of Medicine, Yonsei University)
  • 투고 : 2011.10.20
  • 심사 : 2012.03.04
  • 발행 : 2012.03.31

초록

A number of Brain-Computer Interface (BCI) studies have been performed to assess the cognitive status through EEG signal. However, there are a few studies trying to prevent user from unexpected safety-accident in BCI study. The EEGs were collected from 19 subjects who participated in two experiments (rest & event-related potential measurement). There was significant difference in EEG changes of both spontaneous and event-related potential. Beta power and P300 latency may be useful as a biomarker for prevention of response to safety-accident.

키워드

참고문헌

  1. Ernst Niedermeyer, Fernando Lopes da Silva,(2005). Electroencephalography: basic principle, clinical applications and related fields, Lippincott Williams & Wilkins
  2. Pfurtscheller, G. et al. (2010). The hybrid BCI, frontiers in Neuroscience, Volume 4, Article 30
  3. Jonathan R. Wolpaw, et al,(2002). Brain-computer interfaces for communication and control, Clinical Neurophysiology 113 767-791 https://doi.org/10.1016/S1388-2457(02)00057-3
  4. Niels Birbaumer, and Leonardo G Cohen, (2007). Brain-Computer interfaces: communication and restoration of movement in paralysis, Journal of Physiology 579.3 pp 621-636 https://doi.org/10.1113/jphysiol.2006.125633
  5. Jee Hoon Roh, et al. (2011) Region and frequency specific changes of spectral power in Alzheimer's disease and mild cognitive impairment, Clinical Neurophysiology 122, 2169-2176 https://doi.org/10.1016/j.clinph.2011.03.023
  6. Electroencephalography, http://en.wikipedia.org/wiki /Electroencephalography
  7. Paul L, Nunez, Ramesh Srinivasan, (2006). Elecrical Fields of the Brain; The Neurophysic of EEG, second edition, Oxford University Press
  8. Saeid Sanei and J.A. Cahmbers, (2007). EEG Signal Processing, John Wiley & Sons, Ltd
  9. Robert M. Chapman, (2011). Brain ERP components predict which individuals progress to Alzheimer's disease and which do not, Neurobiology of Aging 32, 1742-1755 https://doi.org/10.1016/j.neurobiolaging.2009.11.010
  10. Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29, 169-195. https://doi.org/10.1016/S0165-0173(98)00056-3
  11. Jensen, O., & Tesche, C. D. (2002). Frontal theta activity in humans increases with memory load in a working memory task. European Journal of Neuroscience, 15, 1395-1399. https://doi.org/10.1046/j.1460-9568.2002.01975.x
  12. Beck_Depression_Inventory, http://en.wikipedia.org /wiki/Beck_Depression_Inventory
  13. 이영호, 송종용(1991),BDI, SDS, MMPI-D 척도의 신뢰도 및 타당도에 대한 연구. 한국심리학회지: 임상, 15권 1호, 98-113
  14. Pfurtscheller, G.,Woertz, M., Supp, G., & Lopes da Silva, F. H. (2003). Early onset of post-movement beta electroencephalogram synchronization in the supplementary motor area during self-paced finger movement in man. Neuroscience Letters, 339, 111-114. https://doi.org/10.1016/S0304-3940(02)01479-9
  15. Dale, A. M., & Sereno, M. I. (1993). Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. Journal of Cognitive Neuroscience, 5(2), 162-176. https://doi.org/10.1162/jocn.1993.5.2.162
  16. Pascal Hot et al, (2011) Changes in sleep theta rhythm are related to episodic memory impairment in early Alzheimer's disease, Biological Psychology, 87, 334-339 https://doi.org/10.1016/j.biopsycho.2011.04.002
  17. Gevins, A., Smith, M. E., McEvoy, L., & Yu, D. (1997). High-resolution EEG mapping of cortical activation related to working memory: Effects of task difficulty, type of processing, and practice. Cerebral Cortex, 7, 374-385. https://doi.org/10.1093/cercor/7.4.374
  18. Rajeev Agarwal and Jean Gotman,(2001). Computer-Assisted Sleep Staging, IEEE Transactions on Biomedical Engineering, Vol, 48, No, 12

피인용 문헌

  1. Analysis of the Simon effect using Amplitude of RTA-ERP and Response time vol.50, pp.9, 2013, https://doi.org/10.5573/ieek.2013.50.9.179