Abstract
Objective: This study aimed to describe the use of the P300 event-related potential as a control signal in a brain computer interface (BCI) for healthy and paralysed participants. Methods: The experimental device used the P300 wave to control the movement of an object on a graphical interface. Visual stimuli, consisting of four arrows (up, right, down, left) were randomly presented in peripheral positions on the screen. Participants were instructed to recognize only the arrow indicating a specific direction for an object to move. P300 epochs, synchronized with the stimulus, were analyzed on-line via Independent Component Analysis (ICA) with subsequent feature extraction and classification by using a neural network. Results: We tested the reliability and the performance of the system in real-time. The system needed a short training period to allow task completion and reached good performance. Nonetheless, severely impaired patients had lower performance than healthy participants. Conclusions: The proposed system is effective for use with healthy participants, whereas further research is needed before it can be used with locked-in syndrome patients. Significance: The P300-based BCI described can reliably control, in 'real time', the motion of a cursor on a graphical interface, and no time-consuming training is needed in order to test possible applications for motor-impaired patients.
| Original language | English |
|---|---|
| Pages (from-to) | 531-537 |
| Number of pages | 7 |
| Journal | Clinical Neurophysiology |
| Volume | 117 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2006 |
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Keywords
- BCI
- ERP
- ICA
- Locked-in syndrome
- Neural network
- P300
ASJC Scopus subject areas
- Clinical Neurology
- Radiology Nuclear Medicine and imaging
- Neurology
- Sensory Systems
- Physiology (medical)
Cite this
P300-based brain computer interface : Reliability and performance in healthy and paralysed participants. / Piccione, F.; Giorgi, F.; Tonin, P.; Priftis, K.; Giove, S.; Silvoni, S.; Palmas, G.; Beverina, F.
In: Clinical Neurophysiology, Vol. 117, No. 3, 03.2006, p. 531-537.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - P300-based brain computer interface
T2 - Reliability and performance in healthy and paralysed participants
AU - Piccione, F.
AU - Giorgi, F.
AU - Tonin, P.
AU - Priftis, K.
AU - Giove, S.
AU - Silvoni, S.
AU - Palmas, G.
AU - Beverina, F.
PY - 2006/3
Y1 - 2006/3
N2 - Objective: This study aimed to describe the use of the P300 event-related potential as a control signal in a brain computer interface (BCI) for healthy and paralysed participants. Methods: The experimental device used the P300 wave to control the movement of an object on a graphical interface. Visual stimuli, consisting of four arrows (up, right, down, left) were randomly presented in peripheral positions on the screen. Participants were instructed to recognize only the arrow indicating a specific direction for an object to move. P300 epochs, synchronized with the stimulus, were analyzed on-line via Independent Component Analysis (ICA) with subsequent feature extraction and classification by using a neural network. Results: We tested the reliability and the performance of the system in real-time. The system needed a short training period to allow task completion and reached good performance. Nonetheless, severely impaired patients had lower performance than healthy participants. Conclusions: The proposed system is effective for use with healthy participants, whereas further research is needed before it can be used with locked-in syndrome patients. Significance: The P300-based BCI described can reliably control, in 'real time', the motion of a cursor on a graphical interface, and no time-consuming training is needed in order to test possible applications for motor-impaired patients.
AB - Objective: This study aimed to describe the use of the P300 event-related potential as a control signal in a brain computer interface (BCI) for healthy and paralysed participants. Methods: The experimental device used the P300 wave to control the movement of an object on a graphical interface. Visual stimuli, consisting of four arrows (up, right, down, left) were randomly presented in peripheral positions on the screen. Participants were instructed to recognize only the arrow indicating a specific direction for an object to move. P300 epochs, synchronized with the stimulus, were analyzed on-line via Independent Component Analysis (ICA) with subsequent feature extraction and classification by using a neural network. Results: We tested the reliability and the performance of the system in real-time. The system needed a short training period to allow task completion and reached good performance. Nonetheless, severely impaired patients had lower performance than healthy participants. Conclusions: The proposed system is effective for use with healthy participants, whereas further research is needed before it can be used with locked-in syndrome patients. Significance: The P300-based BCI described can reliably control, in 'real time', the motion of a cursor on a graphical interface, and no time-consuming training is needed in order to test possible applications for motor-impaired patients.
KW - BCI
KW - ERP
KW - ICA
KW - Locked-in syndrome
KW - Neural network
KW - P300
UR - http://www.scopus.com/inward/record.url?scp=33644778869&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33644778869&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2005.07.024
DO - 10.1016/j.clinph.2005.07.024
M3 - Article
C2 - 16458069
AN - SCOPUS:33644778869
VL - 117
SP - 531
EP - 537
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
SN - 1388-2457
IS - 3
ER -