Response error correction - A demonstration of improved human-machine performance using real-time EEG monitoring

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 11, Issue 2, 2003, Pages 173-177

  Parra, Lucas C ^a   Spence, Clay D ^a   Gerson, Adam D ^b   Sajda, Paul ^b  

^a SARNOFF CORPORATION   (United States)

^b Columbia University ^*  (United States)

Author keywords

Brain computer interface (BCI); Electroencephalography (EEG); Error related negativity (ERN); Eye blink removal; Single trial detection

Indexed keywords

ADAPTIVE ALGORITHMS; BRAIN; ERROR DETECTION; HUMAN COMPUTER INTERACTION; INTERFACES (COMPUTER); LINEAR PROGRAMMING; PATIENT REHABILITATION; PROGRAM PROCESSORS;

BRAIN-COMPUTER INTERFACES;

NEURAL NETWORKS;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; BRAIN COMPUTER INTERFACE; COMPUTER INTERFACE; ELECTROENCEPHALOGRAPHY; EYELID REFLEX; HUMAN COMPUTER INTERACTION; INFORMATION PROCESSING; LINEAR SYSTEM; MAN MACHINE INTERACTION; PATIENT MONITORING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REAL TIME ELECTROENCEPHALOGRAPHY; RESPONSE ERROR CORRECTION; TASK PERFORMANCE; VISUAL DISCRIMINATION;

ALGORITHMS; BLINKING; BRAIN; DISCRIMINANT ANALYSIS; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEEDBACK; HUMANS; MARKOV CHAINS; PRINCIPAL COMPONENT ANALYSIS; STOCHASTIC PROCESSES; USER-COMPUTER INTERFACE; VISUAL PERCEPTION;

EID: 0041668114     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2003.814446     Document Type: Article

References (19)

1. A. Kramer and J. Spinks, "Capacity views of information processing," in Psychophysiology of Human Information Processing: An Integration of Central and Autonomic Nervous System Approaches, R. Jennings and M. Coles, Eds. New York: Wiley, 1991, pp. 179-250.
2. J. Beatty, "Task-evoked pupillary responses, processing load, and the structure of processing resources," Psych. Bull., pp. 276-292, 1982.
3. A. Gevins, M. Smith, L. McEvoy, H. Leong, and J. Le, "Electroencephalographic imaging of higher brain function," in Philosophical Transactions of the Royal Society, ser. B London, U.K., 1999, vol. 354, pp. 1125-1134.
4. C. Tallon-Baudry, O. Bertrand, F. Peronnet, and J. Pernier, "Induced gamma-band activity during the delay of a visual short-term memory task in humans," J. Neurosci., no. 11, pp. 4244-4254, 1998.
5. F. Babiloni et al., "Linear classification of low-resolution eeg patterns produced by imagined hand movements," IEEE Trans. Rehab. Eng., vol. 8, pp. 186-188, June 2000.
6. W. H. R. Miltner, C. H. Braun, and M. G. H. Coles, "Event-related brain potentials following incorrect feedback in a time estimation task: Evidence for a generic neural system for error detection," J. Cog. Neurosci., pp. 788-798, 1997.
7. S. Thorpe, D. Fize, and C. Marlot, "Speed of processing in the human viusal system," Nature, pp. 520-522, 1996.
8. L. Parra, C. Alvino, A. C. Tang, B. A. Pearlmutter, N. Yeung, A. Osman, and P. Sajda, "Linear spatial integration for single trial detection in encephalography," NeuroImage, to be published.
9. M. Falkenstein, J. Hoorman, S. Christ, and J. Hohnsbein, "ERP components on reaction errors and their functional significance: A tutorial," Biolog. Psych., vol. 52, pp. 87-107, 2000.
10. G. Schalk, J. Wolpaw, D. McFarland, and G. Pfurtscheller, "EEG-based communication: Presence of an error potential," Clin. Neurophysiol., vol. 111, pp. 2138-2144, 2000.
11. P. Sajda, A. Gerson, and L. Parra, "High-throughput image search via single-trial event detection in a rapid serial visual presentation task," in Proc. 1st Int. IEEE EMBS Conf. Neural Engineering, Capri, Italy, Mar. 2003.
12. J. C. Woestenburg, M. N. Verbaten, and J. L. Slangen, "The removal of the eye-movement artefact from the EEG by regression analysis in the frequency domain," Biolog. Psych., vol. 16, no. 1-2, pp. 127-147, 1983.
13. T.-P. Jung, S. Makeig, C. Humphries, T.-W. Lee, M. J. Mckeown, V. Iragui, and T. J. Sejnowski, "Removing electroencephalographic artifacts by blind source separation," Psychophysiol., vol. 37, pp. 163-178, 2000.
14. M. S. Crouse, R. D. Nowak, and R. G. Baraniuk, "Wavelet-based statistical signal processing using hidden Markov models," IEEE Trans. Signal Processing, vol. 46, pp. 886-902, Apr. 1998.
15. H. Coi and R. G. Baraniuk, "Multiscale imaage segmentation using wavelet-domain hidden markov models," IEEE Trans. Image Processing, vol. 10, pp. 1309-1321, Sept. 2001.
16. H. Cheng and C. A. Bouman, "Multiscale bayesian segmentation using a trainable context model," IEEE Trans. Image Processing, vol. 10, pp. 511-525, Apr. 2001.
17. J. K. Romberg, H. Coi, and R. G. Baraniuk, "Bayesian tree-stuctured image modeling using wavelet domain hidden markov models," IEEE Trans. Image Processing, vol. 10, pp. 1056-1068, July 2001.
18. C. D. Spence, L. Parra, and P. Sajda, "Detection, synthesis and compression in mammographic image analysis using a hierarchical image probability model," in Mathematical Methods in Biomedical Image Analysis, M. Staib, Ed. Piscataway, NJ: IEEE Press, 2001, pp. 3-10.
19. L. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, pp. 257-285, Feb. 1989.