I need to check if I can found some SSVEP responses to a visual stimuli.

As a device to acquire the signal I used the MindSet, so I am aware of the fact that it is probably not possible to see nothing if the signal is acquired with this device, but I need to verify it. I have acquired the signal and I do not seem to see any kind of a response in the frequency domain analysis. The frequencies used are 12 and 15 Hz. Can you see if I'm right? Here you can obtain the signal acquired by me.

Moreover, I am a newbie signal analysis, but can you confirmed that it is useless a spatial filter CSP for a signal acquired by a device with only one electrode?

With a little editining to default SSVEP scenario (two target instead of three) I obtain this results

Code: Select all

```
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 1 / 10 (performance : 48.1013%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 2 / 10 (performance : 44.9367%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 3 / 10 (performance : 51.5723%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 4 / 10 (performance : 36.0759%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 5 / 10 (performance : 42.7673%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 6 / 10 (performance : 50.6329%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 7 / 10 (performance : 47.4684%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 8 / 10 (performance : 47.1698%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 9 / 10 (performance : 49.3671%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Finished with partition 10 / 10 (performance : 49.6855%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.2> Classifier performance on whole set is 46.7777% (sigma = 4.35194%)
```

Code: Select all

```
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> k-fold test could take quite a long time, be patient
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 1 / 10 (performance : 54.4304%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 2 / 10 (performance : 58.2278%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 3 / 10 (performance : 60.3774%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 4 / 10 (performance : 58.8608%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 5 / 10 (performance : 56.6038%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 6 / 10 (performance : 63.9241%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 7 / 10 (performance : 55.0633%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 8 / 10 (performance : 59.7484%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 9 / 10 (performance : 53.7975%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Finished with partition 10 / 10 (performance : 53.4591%)
[ INF ] At time 298.117 sec <Box algorithm::Classifier for Frequency n.1> Classifier performance on whole set is 57.4492% (sigma = 3.21185%)
```

Thanks for any answers.