Wavelet analysis of neuroelectric waveforms: A conceptual tutorial

Brain and Language

Volumn 66, Issue 1, 1999, Pages 7-60

  Samar, Vincent J ^a   Bopardikar, Ajit ^a   Rao, Raghuveer ^a   Swartz, Kenneth ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUDITORY THRESHOLD; DATA ANALYSIS; ELECTROENCEPHALOGRAM; ELECTRONEUROLOGY; EVENT RELATED POTENTIAL; EVOKED BRAIN STEM AUDITORY RESPONSE; FOURIER TRANSFORMATION; FREQUENCY ANALYSIS; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SPIKE WAVE; TIME; WAVEFORM;

EID: 0032796009     PISSN: 0093934X     EISSN: None     Source Type: Journal    
DOI: 10.1006/brln.1998.2024     Document Type: Article

References (38)

1. Akay M., Akay Y. M., Cheng P., Szeto H. H. Time-frequency analysis of the electrical activity during maturation using wavelet transform. Biological Cybernetics. 71:1994;169-176.
2. Akay M., Daubenspect J. A. Investigating the contamination of EEG by EMG using matching pursuit. Brain and Language. 1999.
3. Bartnik E. A., Blinowska K. J., Durka P. J. Single evoked potential reconstruction by means of wavelet transform. Biological Cybernetics. 67:1991;175-181.
4. Basar E., Basar-Eroglu C., Parnefjord R., Rahn E., Schürmann M. Evoked potentials: Ensembles of brain induced rhythmicities in the alpha, theta and gamma ranges. Induced rhythms in the brain. 1992;Birkhäuser, Boston. p. 155-181.
5. Basar E., Bullock T. H. Induced rhythms in the brain. 1992;Brikhäuser, Boston.
6. Basar E., Demiralp T., Schürmann M., Basar Eroglu C., Ademoglu A. Oscillatory brain dynamics, wavelet analysis and cognition. Brain and Language. 1999.
7. Bertrand O., Bohorquez J., Pernier J. Time-frequency digital filtering based on an invertable wavelet transform: An application to evoked potentials. IEEE Transactions on Biomedical Engineering. 41:1994;77-88.
8. Carmona R., Hudgins L. Wavelet de-noising of EEG signals and identification of evoked response potentials. Laine A. F., Unser M. A. Wavelet applications in signal and image processing: II. Proceedings of the Society for Photo Instrumentation Engineering. 1994;91-104.
9. Chapa J. O., Raghuveer M. R. Optimal matched wavelet construction and its application to image pattern recognition. Szu H. H. Wavelet applications: II. Proceedings of the Society for Photo Instrumentation Engineering. 1995;518-529.
10. Chapman R. M., McCrary J. W. EP component identification and measurement by principal components analysis. Brain and Cognition. 27:1995;288-310.
11. Cohen H. L., Wang W., Porjesz B., Bauer L., Kuperman S., O'Connor S. J., Rohrbaugh J., Begleiter H. Alcohol. 11:1994;583-587.
12. Dear S. P., Hart C. B. Synchronized cortical potentials and wavelet packets: A potential mechanism for perceptual binding and conveying information. Brain and Language. 1999.
13. Demiralp T., Ademoglu A., Schurmann M., Basar-Eroglu C., Basar E. Detection of P300 waves in single trials by the wavelet transform. Brain and Language. 1999.
14. Hanrahan, H. E. 1990, Extraction of features in auditory brainstem response (ABR) signals, COMSIG 90, Proceedings of the Third South African Conference on Communications and Signal Processing.
15. Hanrahan, H. E. 1992, A family of wavelets which are dilatable by simple IIR filters, International Conference on Acoustics, Speech, and Signal Processing.
16. Hillyard S. A., Picton T. W. Electrophysiology of cognition. Plum F. Handbook of physiology. 1987;519-584 Am. Physiol. Soc. Baltimore.
17. Kalayci, T. Ozdamar, O. Erdol, N. 1994, The use of wavelet transform as a preprocessor for the neural network detection of EEG spikes, Proceedings of the IEEE Southeastcon '94.
18. Mallat S. G. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11:1989;674-693.
19. Mallat S. G., Zhong S. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing. 12:1993;3397-3415.
20. Mzaik T., Jagadeesh J. M. Wavelet-based detection of transients in biological signals. Laine A. F., Unser M. A. Wavelet applications in signal and image processing: II. Proceedings of the Society for Photo Instrumentation Engineering. 1994;105-119.
21. Potts G. F., Liotti M., Tucker D. M., Posner M. I. Frontal and inferior temporal cortical activity in visual target detection: Evidence from high spatially sampled event-related potentials. Brain Topography. 9:1996;3-14.
22. Raghuveer, M. R. Chapa, J. O. 1996, Wavelet applications: III. Proceedings of the Society for Photo Instrumentation Engineering.
23. Rao R. M., Bopardikar A. S. Wavelet transforms: Introduction to theory and applications. 1998;Addison-Wesley-Longman, Reading.
24. Raz J., Dickerson L., Turetsky B. A wavelet packet model of evoked potentials. Brain and Language. 1999.
25. Samar V. J., Begleiter H., Chapa J. O., Raghuveer M. R., Orlando M., Chorlian D. Matched Meyer neural wavelets for clinical and experimental analysis of auditory and visual evoked potentials. Ramponi G., Sicuranza G. I., Carrato S., Marsi S. Signal processing: VIII. Theories and applications, Proceedings of EUSIPCO-96. 1996;387-390 Edizioni LINT, Trieste.
26. Samar V. J., Kulkarni G., Swartz K. P., Parasnis I., Raghuveer M. R., Udpikar V. Concise and scale-specific extraction of biomedically relevant information from visual evoked potential signals: Combining factor analysis with wavelet decomposition. Laine A. F., Unser M. A. Wavelet applications in signal and image processing: II. Proceedings of the Society for Photo Instrumentation Engineering. 1994;496-507.
27. Samar V. J., Swartz K. P., Raghuveer M. R. Multiresolution analysis of event-related potentials by wavelet decomposition. Brain and Cognition. 27:1995;398-438.
28. Schiff S. J. Resolving time-series structure with a controlled wavelet transform. Optical Engineering. 31:1992;2492-2495.
29. Schiff S. J., Aldroubi A., Unser M., Sato S. Fast wavelet transformation of EEG. Electroencephalography and Clinical Neurophysiology. 91:1994;442-455.
30. Schiff S. J., Heller J., Weinstein S. L., Milton J. Wavelet transforms and surrogate data for electroencephalographic spike and seizure detection. Optical Engineering. 33:1994;2162-2169.
31. Srinivasan R., Tucker D. M., Murias M. Estimating the spatial Nyquist of the human EEG. Behavioral Research Methods, Instruments, & Computers. 30:1998;8-19.
32. Strang G. Wavelet transforms versus Fourier transforms. Bulletin (New Series) of the American Mathematical Society. 28:1993;288-305.
33. Tang Z. W., Ishii N. The recognition system with two channels at different resolution for detecting spike in Human's EEG. IEICE Transactions on Information and Systems. E76-D:1993;377-387.
34. Trejo L. J., Shensa M. J. Feature extraction of event-related potentials using wavelets: An application to human performance monitoring. Brain and Language. 1999.
35. Tucker D. M. Spatial sampling of head electrical fields: The geodesic head sensor net. Electroencephalography and Clinical Neurophysiology. 87:1993;154-163.
36. Unser M., Aldroubi A. Fast algorithms for running wavelet analysis. Laine A. F., Unser M. A. Signal and image processing: II. Proceedings of the Society for Photo Instrumentation Engineering. 1994;308-319.
37. de Weerd J. P. C., Kap J. I. Spectro-temporo representations and time-varying spectra of evoked potentials: A methodological investigation. Biological Cybernetics. 41:1981;101-117.
38. Wood C. C., McCarthy G. Principal component analysis of event-related potentials: Simulation studies demonstrate misallocation of variance across components. Electroencephalography and Clinical Neurophysiology. 59:1984;249-260.