Time-frequency coherence analysis of multi-channel event-related potential using adaptive windowed Lomb periodogram

2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09

Volumn , Issue , 2009, Pages 657-660

  Zhang, Z G ^a   Cai, X L ^a   Chan, S C ^a   Hu, Y ^a   Hu, L ^a   Chang, C Q ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Electroencephalography; Event related potential; Lomb periodogram, coherence analysis

Indexed keywords

ADAPTIVE WINDOWS; BIAS AND VARIANCE; COHERENCE ANALYSIS; CORTICAL REGIONS; EVENT-RELATED POTENTIAL; EVENT-RELATED POTENTIALS; INFORMATION FLOWS; INTERSECTION OF CONFIDENCE INTERVALS; LOMB PERIODOGRAM; LOMB PERIODOGRAM, COHERENCE ANALYSIS; MULTI-CHANNEL; TIME FREQUENCY; TIME FREQUENCY ANALYSIS; TIME VARYING; TIME-FREQUENCY RESOLUTION;

ELECTROENCEPHALOGRAPHY; WINDOWS;

ELECTROPHYSIOLOGY;

EID: 70350223734     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2009.5109382     Document Type: Conference Paper

References (10)

1. P. L. Nunez and R. Srinivasan, "EEG coherence I: statistics, reference electrode, vdume conduction, 1aplacians, cortical imaging and interpretation at multiple scales," Electroenceph. Clin. Neurophysiol., vol.103, pp. 499-515, 1995.
2. C. Andrew and G. Pfurtscheller, "Event-related coherence as a tool for studying dynamic interaction of brain regions," Electroenceph. Clin. Neurophysiol., vol. 98, no. 2, pp. 144-148, 1996.
3. E. Moller, B. Schack, M. Arnold, and H. Witte, "Instantaneous multivariate EEG coherence analysis by means of adaptive high-dimensional autoregressive models," J. Neurosci. Methods, vol. 105, pp. 143-158, 2001.
4. M. Shen, K. H. Ting, P. J. Beadle, F. H. Y. Chan, "Analysis of time-varying synchronization of EEG during sentences identification," in Proceedings of 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, March, 2002.
5. S. C. Chan and Z. G. Zhang, "Adaptive window selection and smoothing of Lomb periodogram for time-frequency analysis of time series," in Proceedings of IEEE International Midwest Symposium on Circuits and Systems, Japan, July, 2004, vol. 2, pp. 137-140.
6. N. R. Lomb, "Least-squares frequency analysis of unequally spaced data," Astrophys. Space Sci., vol. 39, pp. 447-462, 1976.
7. L. J. Stanković and V. Katkovnik, "The Wigner distribution of noisy signals with adaptive time-frequency varying window," IEEE Trans. Signal Process., vol. 47, no. 4, pp. 1099-1108, 1999.
8. S. C. Chan and Z. G. Zhang, "Adaptive coherence analysis of nonstationary time series using the adaptive Lomb spectrum," in Proceedings of IEEE/SP 13th Workshop on Statistical Signal Processing, France, July, 2005, pp. 901-904.
9. Z. G. Zhang, S. C. Chan, K. L. Ho, and K. C. Ho, "On bandwidth selection in local polynomial regression analysis and its application to multi-resolution analysis of non-uniform data," J. Signal Process. Syst., vol. 52, no. 3, pp. 263-280, Sept. 2008.
10. K. H. Ting, P. C. W. Fung, C. Chang, and F. H. Y. Chan, "Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only," Med. Eng. Phys., vol. 28, pp. 780-794, 2006.