Prediction of arm movement trajectories from ECoG-recordings in humans
| Autor: | Andreas Schulze-Bonhage, Tonio Ball, Tobias Pistohl, Ad Aertsen, Carsten Mehring |
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| Rok vydání: | 2008 |
| Předmět: |
Adult
medicine.medical_specialty Adolescent Computer science Movement Local field potential Electroencephalography Brain mapping Hand position User-Computer Interface Physical medicine and rehabilitation Predictive Value of Tests medicine Humans neoplasms Electrocorticography Brain Mapping Epilepsy medicine.diagnostic_test Spectrum Analysis General Neuroscience Motor Cortex Cursor (user interface) Motor control Numerical Analysis Computer-Assisted Electric Stimulation medicine.anatomical_structure Arm Neuroscience Motor cortex |
| Zdroj: | Journal of Neuroscience Methods. 167:105-114 |
| ISSN: | 0165-0270 |
| DOI: | 10.1016/j.jneumeth.2007.10.001 |
| Popis: | Electrocorticographic (ECoG) signals have been shown to contain reliable information about the direction of arm movements and can be used for on-line cursor control. These findings indicate that the ECoG is a potential basis for a brain-machine interface (BMI) for application in paralyzed patients. However, previous approaches to ECoG-BMIs were either based on classification of different movement patterns or on a voluntary modulation of spectral features. For a continuous multi-dimensional BMI control, the prediction of complete movement trajectories, as it has already been shown for spike data and local field potentials (LFPs), would be a desirable addition for the ECoG, too. Here, we examined ECoG signals from six subjects with subdurally implanted ECoG-electrodes during continuous two-dimensional arm movements between random target positions. Our results show that continuous trajectories of 2D hand position can be approximately predicted from the ECoG recorded from hand/arm motor cortex. This indicates that ECoG signals, related to body movements, can directly be transferred to equivalent controls of an external effector for continuous BMI control. |
| Databáze: | OpenAIRE |
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