R Squared Anomaly in Mu Tutorial
Posted: 14 Aug 2009, 16:26
Hello,
I'd like to ask a question about the R values on the mu tutorial. When I plot the features, certain subjects have significantly lower R values than than I expected.
The subjects have gone through the non-feedback protocol several times, but only reaching smaller R values (.02 or .06 at most). We're getting some features in the 8-14 hz range (as expected), but the R values between classes are consistently low. In other words, the features are there, but expected R values are not.
I understand every subject is unique, but this seems rather low. Out of four subjects (all normal young male subjects), only one achieved R^2 squared values higher than .1. This one subject only achieved an R^2 value of .2.
We are using a Neuroscan EEG system with Scan 4.4 software, and the system works and records fine.
A few questions:
1) What can cause R squared values to be so low, across several sessions and subjects?
2) Can some form of training or subject selection help increase these R values?
3) How can you train a subject on BCI? Is the feedback protocol more effective than the calibration one?
4) What if the subject is unable to perform the feedback protocol task effectively for several runs?
Any assistance for this would be welcome. Regards, John
I'd like to ask a question about the R values on the mu tutorial. When I plot the features, certain subjects have significantly lower R values than than I expected.
The subjects have gone through the non-feedback protocol several times, but only reaching smaller R values (.02 or .06 at most). We're getting some features in the 8-14 hz range (as expected), but the R values between classes are consistently low. In other words, the features are there, but expected R values are not.
I understand every subject is unique, but this seems rather low. Out of four subjects (all normal young male subjects), only one achieved R^2 squared values higher than .1. This one subject only achieved an R^2 value of .2.
We are using a Neuroscan EEG system with Scan 4.4 software, and the system works and records fine.
A few questions:
1) What can cause R squared values to be so low, across several sessions and subjects?
2) Can some form of training or subject selection help increase these R values?
3) How can you train a subject on BCI? Is the feedback protocol more effective than the calibration one?
4) What if the subject is unable to perform the feedback protocol task effectively for several runs?
Any assistance for this would be welcome. Regards, John