OpenViBE forum

Hello. You can add new input by right-clicking the "Signal Concatenation" box. It seems to work in the example scenario, but you should double-check. In addition, it would only work with files having the same structure (same EEG channels, trial numbers, markers, etc.). You can try it with your EEG f...

Hello.
Have you tried the "Signal Concatenation" box?
According to its documentation, it seems to be suitable for your case.
http://openvibe.inria.fr/documentation/ ... tion.html

Best,

Hello. I haven't seen this error message before. Since there is not much information, let me ask a few questions to help you. - Did you try scenarios 2, 3, and 4 using examples instead of your data? (example ov data) It should work. (without any modification, scenarios 2 and 3 generate csp.cfg and c...

Hello. Sorry for the unclear terms. On/off in my reply meant the period when the user wants to use a BCI system. You have mentioned asynchronous BCI. In asynchronous BCI, no stimulus onset indicates the task period, but it is determined by the user. Therefore, you first need to determine when the us...

Hello. CSP is optimized to maximize the variance of one class and minimize the variance of another class and vice versa. In general, the first N and last N filters are selected. In your case, however, since there are only three channels, it cannot guarantee optimal performance. It would be similar w...

Hello. Thank you for the update. First of all, I noticed a few points to be fixed. For Spectral analysis box, its outputs are amplitude, phase, real part, and imagery part of FFT. Your data dimension is changed from [1 x time] -> [Frequency bins x 1] Therefore, its first output is amplitude per freq...

Hello.
Unfortunately, I cannot see the attached image.

2. I don't think decimation is essential for the original sample rate of 250Hz.

Best regards,

Hello. I am glad to hear that you resolved the issue. Let me explain reading the output. It may be redundant if you know already, but I hope this helps, just in case. For now, your classifier is optimized based on all your input, yielding optimal performance. Training accuracy is calculated by the s...

Thank you for updating the progress with details. For simple validation, 1) Could you apply the 4th order Butterworth filter instead of the 1st order? Depending on the signal length and bandwidth, it will yield abnormal values. If you filter the signal for too short time, you will face edge effects ...

Hello. I looked at your latest attachment, and It seems that channel 14 is dead. Your covariance matrix will not have full rank, yielding one eigenvalue of nearly 0. Depending on how internal scripts deal with less rank matrix, I think it could print an error. (e.g., Reducing dimension or enforcing ...

Hello. You can use temporal filter box to filter the EEG before Python scripting box . If you want to filter the signal after epoching, I attach a script for the Scipy-based bandpass filter. In addition, you can refer to this tutorial link: https://docs.scipy.org/doc/scipy/reference/generated/scipy....

Hello. What does it mean out of range? If you mean 1.9 is out of range of [8 12], you might misunderstand frequency band power. What you obtain from the scenario has a unit of microvolt^2, whereas the range you mentioned ([8 12]) is Hz. EEG is recorded as a temporal signal (electrical potential) in ...