about P300GUI

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Yueqing Li
Posts: 51
Joined: 08 May 2007, 16:41

about P300GUI

Post by Yueqing Li » 03 Mar 2009, 00:57

Hi,

I met some problems in building the classifier with P300GUI. I had 5 runs in the training session. I wanted to use four of them to build the classifier and the left to test the classifier. However, I can't build a good classifier with the training data. The accuracy is always very low in the testing run (less than 25%). This happened with several participants with motor disabilities (ALS and CP), but never appeared with healthy participants. However, from the accuracy of the training data, there is no obvious difference.

Is there anything special I should do in get the training data with participants with motor disabilities? Thanks a lot in advance.

gschalk
Posts: 615
Joined: 28 Jan 2003, 12:37

P300

Post by gschalk » 03 Mar 2009, 06:42

Yueqing,

The accuracy on the training data is not a good indicator for performance. The P300 response will be smaller and more variable in people with disabilities, and thus performance will be reduced. What may help is to collect more training data (I don't know how many characters there were in total in the 5 training runs), so that the classifier is more stable. Other than that, you will have to optimize system parameters (e.g., flash intensity, duration, size of the matrix, etc.), to optimize results.

Gerv

Yueqing Li
Posts: 51
Joined: 08 May 2007, 16:41

Post by Yueqing Li » 03 Mar 2009, 23:44

Dr. Schalk:

Thanks for your reply. I used 10 characters in each run. So, there were totally 50 characters in the training session. Is that enough for participant with motor disabilities?

I have one question for testing the training classifier weight. What is a good classifier? It seems that the accuracy produced in the command window is the only criterion. Is there any exact standard, such as 90%, 100%? Thanks.

gschalk
Posts: 615
Joined: 28 Jan 2003, 12:37

ALS patients

Post by gschalk » 04 Mar 2009, 08:53

Yueqing,

You seem to be having enough training data.

In general, only very few BCI labs in the world have been working with ALS patients. My colleagues have quite some experience and also nice success with this population, but it is definitely a challenge. You will need to simply work with the population and learn what combination of BCI parameters, distance to screen, matrix size, etc., optimize the results.

Sorry I can't give you a direct recipe for success.


Gerv

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