Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Literature DB >> 21394652

Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Petar Horki¹, Teodoro Solis-Escalante, Christa Neuper, Gernot Müller-Putz.

Abstract

A Brain-Computer Interface (BCI) is a device that transforms brain signals, which are intentionally modulated by a user, into control commands. BCIs based on motor imagery (MI) and steady-state visual evoked potentials (SSVEP) can partially restore motor control in spinal cord injured patients. To determine whether these BCIs can be combined for grasp and elbow function control independently, we investigated a control method where the beta rebound after brisk feet MI is used to control the grasp function, and a two-class SSVEP-BCI the elbow function of a 2 degrees-of-freedom artificial upper limb. Subjective preferences for the BCI control were assessed with a questionnaire. The results of the initial evaluation of the system suggests that this is feasible.

Entities: Species

Mesh：

Year: 2011 PMID： 21394652 DOI： 10.1007/s11517-011-0750-2

Source DB: PubMed Journal: Med Biol Eng Comput ISSN： 0140-0118 Impact factor: 2.602

27 in total

Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Review 1. Event-related EEG/MEG synchronization and desynchronization: basic principles.

2. Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data.

Review 3. Brain-computer interfaces for communication and control.

4. 'Thought'--control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia.

5. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components.

6. Comparison of DFT and lock-in amplifier features and search for optimal electrode positions in SSVEP-based BCI.

7. An online multi-channel SSVEP-based brain-computer interface using a canonical correlation analysis method.

8. Could the beta rebound in the EEG be suitable to realize a "brain switch"?

9. An independent brain-computer interface using covert non-spatial visual selective attention.

10. EEG-based neuroprosthesis control: a step towards clinical practice.

1. Robust extraction of P300 using constrained ICA for BCI applications.

2. Error potential detection during continuous movement of an artificial arm controlled by brain-computer interface.

3. The performance of 9-11-year-old children using an SSVEP-based BCI for target selection.

4. Neurodynamic measures of functional connectivity and cognition.

5. An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface.

6. Sensorimotor learning with stereo auditory feedback for a brain-computer interface.

7. A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.

8. Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.

9. Novel non-contact control system of electric bed for medical healthcare.

Review 10. Progress in Brain Computer Interface: Challenges and Opportunities.