Impact of target probability on single-trial EEG target detection in a difficult rapid serial visual presentation task

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 6381-6384

  Cecotti, Hubert ^a   Sato Reinhold, Joyce ^a   Sy, Jocelyn L ^a   Elliott, James C ^a   Eckstein, Miguel P ^a   Giesbrecht, Barry ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE ROC CURVE; BAYESIAN DISCRIMINANT ANALYSIS; BEHAVIORAL PERFORMANCE; CLASSIFICATION APPROACH; CURRENT TRENDS; DETECTING TARGET; EVENT-RELATED POTENTIALS; EVOKED RESPONSE; HEALTHY SUBJECTS; KEY FACTORS; NON-INVASIVE; OPTIMAL PERFORMANCE; RAPID SERIAL VISUAL PRESENTATIONS; SINGLE TRIAL; SINGLE-TRIAL EEG; SPATIAL FILTERS; TARGET CLASSIFICATION; TARGET RESPONSE;

DISCRIMINANT ANALYSIS; INTERFACES (COMPUTER); PATTERN RECOGNITION; PROBABILITY; SIGNAL DETECTION;

BRAIN COMPUTER INTERFACE;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; BAYES THEOREM; ELECTRODE; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EVOKED RESPONSE; FEMALE; HUMAN; INFORMATION PROCESSING; MALE; METHODOLOGY; PHYSIOLOGY; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; VISION;

ALGORITHMS; AREA UNDER CURVE; AUTOMATIC DATA PROCESSING; BAYES THEOREM; ELECTRODES; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; PROBABILITY; REPRODUCIBILITY OF RESULTS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; VISION, OCULAR;

EID: 84864626361     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091575     Document Type: Conference Paper

References (15)

1. L. Farwell and E. Donchin, "Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials," Electroencephalogr. Clin. Neurophysiol., vol. 70, pp. 510-523, 1988.
2. J. Polich, "Updating P300: An integrative theory of P3a and P3b," Clinical Neurophysiology, vol. 118, pp. 2128-2148, 2007.
3. M. M. Chun and C. M. Potter, "A tow-stage model for multiple target detection in rapid serial visual presentation," J. Exp. Psy. Human Perception and Performance, vol. 21, no. 1, pp. 109-127, 1995.
4. J. Touryan, L. Gibson, H. J. Horne, and P. Weber, "Real-time measurement of face recognition in rapid serial visual representation," Frontiers in psychology, vol. 2, no. 42, 2011.
5. N. Bigdely-Shamlo, A. Vankov, R. R. Ramirez, and S. Makeig, "Brain activity-based image classification from rapid serial visual presentation," IEEE Trans. on Neural Systems and Rehab. Eng., vol. 16, no. 5, 2008.
6. A. Gerson, L. Parra, and P. Sajda, "Cortically-coupled computer vision for rapid image search," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 14, no. 2, pp. 174-179, 2006.
7. L. C. Parra, C. Christoforou, A. D. Gerson, M. Dyrholm, A. Luo, M. Wagner, M. G. Philiastides, and P. Sajda, "Spatio-temporal linear decoding of brain state: Application to performance augmentation in high-throughput tasks," IEEE Signal Process. Mag., vol. 25, no. 1, pp. 95-115, 2008.
8. K. E. Hild, M. Kurimo, and V. D. Calhoun, "The sixth annual MLSP competition, 2010," IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 107-111, 2010.
9. J. M. Leiva and S. M. M. Martens, "MLSP competition, 2010: Description of the first place method," IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 112-113, 2010.
10. H. Cecotti, B. Rivet, M. Congedo, C. Jutten, O. Bertrand, E. Maby, and J. Mattout, "A robust sensor selection method for p300 brain-computer interfaces," Journal of Neural Engineering, vol. 8, 2011.
11. B. Rivet, A. Souloumiac, V. Attina, and G. Gibert, "xDAWN algorithm to enhance evoked potentials: application to brain-computer interface," IEEE Trans Biomed Eng., vol. 56, no. 8, pp. 2035-43, 2009.
12. D. J. C. MacKay, "Bayesian interpolation," Neural Comput., vol. 4, no. 3, pp. 415-447, 1992.
13. U. Hoffmann, J. Vesin, K. Diserens, and T. Ebrahimi, "An efficient P300-based brain-computer interface for disabled subjects," Journal of Neuroscience Methods, vol. 167, no. 1, pp. 115-125, 2008.
14. T. Fawcett, "An introduction to roc analysis," Pattern Recognition Letters, vol. 27, pp. 861-874, 2006.
15. C. J. Gonsalvez and J. Polich, "P300 amplitude is determined by target-to-target interval," Psychophysiology, vol. 39, pp. 388-396, 2002.