Anders Eklund1,2, Henrik Ohlsson3, Mats Andersson1,2, Joakim Rydell1, Anders Ynnerman2,4, Hans Knutsson1,2
1Div. of Medical Informatics, Dept. of Biomedical Engineering, Linkping University, Sweden; 2Center for Medical Image Science and Visualization (CMIV), Linkping, Sweden; 3Div. of Automatic Control, Dept. of Electrical Engineering, Linkping University, Sweden; 4Div. for Visual Information Technology and Applications, Dept. of Science and Technology, Linkping University, Sweden
We present an fMRI based brain computer interface (BCI). The brain and the computer are linked by fMRI and work as a controller for a dynamical system. The dynamical system consists of a cart with an inverse pendulum mounted on it. A neural network is used to classify between rest, left hand and right hand activity. The classification computed by the neural network is used as an input to the dynamical system. The BCI runs in real-time and a new control signal is computed once a second. The subject was able to balance the inverse pendulum for 7 minutes.