Implementation Of Online Brain Computer Interface Using Motor Imagery In LabVIEW
Studenteropgave: Speciale (inkl. HD afgangsprojekt)
- Asbjørn Binderup
- Anurag Garg
The purpose of this study was to demonstrate the effect of training on a subject's performance using an online
Brain Computer Interface system with feedback.
In order to do so, we developed an Online system
BCILab which performs data acquisition, signal process-
ing, feature extraction, classification and saving of all
parameters. The data acquisition was done using a TCP
connection with the ACQUIRE program. Spatial filter
(common average reference) and detrending were used
during signal processing to achieve high signal to noise
ratio and stationarity of signal respectively.The power
spectrum calculated for the autoregressive coeficients
for channel C3 and C4 at 8, 10 and 12 Hz were used as
the features for classification by a bayesian classifier.
The data for training of the classifier was collected
during a single screening session and multiple feedback
sessions when the subject was asked to perform the left
or right motor imagery task depending on target state.
The performance of the subject was analysed over each
session and over days.
As the study had only two subjects, it was considered
as a case study. However, in case of both subjects
the performance of over days has shown improvement,
in case of subject1 it improved from (48%±15%) to
(67%±10%) and for subject2 (50%±0%) to (56%±11%)
over 3 and 4 days respectively.
Sprog | Engelsk |
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Udgivelsesdato | 2007 |
Antal sider | 122 |
Udgivende institution | HST, AAU |