Estimating the mutual information of an EEG-based Brain-Computer Interface

Biomedizinische Technik

Volumn 47, Issue 1-2, 2002, Pages 3-8

  Schlogl A ^a   Neuper, C ^a   Pfurtscheller, G ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Adaptive autoregressive model; Brain computer interface; Communication theory; Entropy; Event related desynchronization (ERD); Mutual information; Non stationary signal processing; Single trial EEG analysis; Time varying spectrum

Indexed keywords

BRAIN; COMMUNICATION CHANNELS (INFORMATION THEORY); INTERFACES (COMPUTER); REGRESSION ANALYSIS; SIGNAL TO NOISE RATIO;

BRAIN-COMPUTER INTERFACES (BCI);

ELECTROENCEPHALOGRAPHY;

ARTICLE; COMPUTER INTERFACE; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAM; ENTROPY; EVOKED RESPONSE; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; NORMAL HUMAN; SENSORIMOTOR FUNCTION; SIGNAL NOISE RATIO; SIGNAL PROCESSING;

EID: 0036125788     PISSN: 00135585     EISSN: None     Source Type: Journal    
DOI: 10.1515/bmte.2002.47.1-2.3     Document Type: Article

References (20)

1. Multichannel EEG-based brain-computer communication
2. A brain-controlled spelling device for the completely paralyzed
3. EEG-based communication: Prospects and problems
4. On-line EEG classification during externally-paced hand movements using a neural network-based classifier
5. EEG-based discrimination between imagination of right and left hand movement
6. Automated feature selection with a distinction sensitive learning vector quantizer
7. Design and operation of an EEG-based brain-computer interface with digital signal processing technology
8. EEG-based communication and control: Short-term role of feedback
9. The thought translation device - A methodology for communication in total motor paralysis
10. Biofeedback of event-related potentials of the brain
11. Self-regulation of slow cortical potentials in completely paralyzed human patients
12. Quality control of polysomnographic sleep data by histogram and entropy analysis
13. Adaptive autoregressive modeling used for single-trial EEG classification
14. Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters
15. Using adaptive autoregressive parameters for a brain-computer-interface experiment
16. Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imagery
17. Feature extraction for on-line EEG classification using principal components and linear discriminants