Browse > Article
http://dx.doi.org/10.5143/JESK.2004.23.4.057

A Study on Consistency Between the Repetition Degree of Movement and ERD/ERS of EEG for the Computer Interface  

Hwang, Min-Cheol (상명대학교 미디어학부)
Choe, Cheol (상명대학교 뇌-정보통신 연구소)
Publication Information
Journal of the Ergonomics Society of Korea / v.23, no.4, 2004 , pp. 57-66 More about this Journal
Abstract
EEG(Electroencephalogram) provides a possibility of communicating between a human and a computer, called BCI(brain computer interface). EEG evoked by a movement has been often used as a control command of a computer. This study is to predict human movements by EEG parameters showed significant consistency. Three undergraduate students were asked to move both hands and foots thirty times respectively. Each movement consisted of single and three consecutive movements. Their EEG signals were analyzed to obtained ERD(Event Related Desynchronization) and ERS(Event Related Synchronization). The results showed that ERD and ERS could be used as a significant classifier identifying either single movement or repetitive movement of human limbs. The number of repetition of movement could be used to various control commands of a computer.
Keywords
BCI; EEG; ERD; ERS; Movement; Limbs;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Wolpaw, J. R., McFarland, D. J., Neat, G. W., Forneris, C. A., An EEG-based brain-computer interface for cursor control, Electroencephalography and clinical Neurophysiology, 78, 252-259, 1991.   DOI   ScienceOn
2 McFarland, D.J., Sarnacki, W. A., Wolpaw, J.R. Brain/computer interface (BCI) operation: Optimizing information transfer rates., Biological Psychology 63 237- 251, 2003.   DOI   ScienceOn
3 Pfurtscheller, G., Flotzinger, D., Pregenzer, M., Wolpaw, J. R., McFarland, D., EEG-based brain-computer interface (BCI): Search for optimal electrode positions and frequency components, Medical Progress through Technology, 21, 111-121, 1996.
4 Pfurtscheller, G., Lopes da Silva, F.H., Eventrelated EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology, 110, 1482-1857, 1999.
5 Ernane J.X. Costa, E., Cabral Jr, F., EEG-based discrimination between imagination of left and right hand movements using adaptive gagaussian representation., Medical Engineering & Physics, 22, 345-348, 2000.   DOI   ScienceOn
6 McFarland, D. J., Neat, G. W., Read, R. F. Wolpaw, J. R., An EEG-based method for graded cursor control, Psychobiology, 21 (1), 77-81, 1993.
7 Pfurtscheller, G., Pregenzer, M. & Neuper, C., Visualization of sensorimotor areas involved in preparation for hand movement based on classification of ${\mu}$ and central ${\beta}$ rhythms in single EEG trials in man, Neuroscience Letters, 181, 43-46, 1994.   DOI   ScienceOn
8 Pfurtscheller, G. Zalaudekb, K. Neuper, C., Event- related beta synchronization after wrist, finger and thumb movement., Electroence- phalogr- aphy and clinical Neurophysiology 109 154-160, 1998.   DOI   ScienceOn
9 Gert Pfurtscheller, Gernot R. Muller, Jorg Pfurtschellerc, Hans Jurgen Gernerd, Rudiger Ruppd, Thought' - control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia., Neuroscience Letters 351 33-36, 2003   DOI   ScienceOn
10 Pfurtscheller, G., Lopes da Silva, F.H., Eventrelated EEG/MEG synchronization and desynchronization: Basic principles, Clinical Neurophysiology, 110, 1482-1857, 1999.
11 Wolpaw, J. R. & McFarland, D. J., Multichannel EEG-based brain-computer communication, Electroencephalography and clinical Neurophysiology, 90, 444-449, 1994.   DOI   ScienceOn
12 Stancak, A., Pfurtscheller, G., Desynchronization and recovery of beta rhythms during brisk and slow self-paced finger movements in man, Neuroscience letters, 196, 21-24, 1995.   DOI   ScienceOn