Biomedical Engineering Reference
In-Depth Information
[12]
James, C., and D. Lowe, “Using Dynamic Embedding to Isolate Seizure Components in the
Ictal EEG,” First International Conference on Advances in Medical Signal and Information
Processing, IEE Conf. Publ. No. 476, 2000, pp. 158-165.
[13]
Lim, A., and W. Winters, “A Practical Method for Automatic Real-Time EEG Sleep State
Analysis,” IEEE Trans. on Biomed. Eng., Vol. 27, No. 4, 1980, pp. 212-220.
[14]
Shimada, T., T. Shiina, and Y. Saito, “Detection of Characteristic Waves of Sleep EEG by
Neural Network Analysis,” IEEE Trans. on Biomed. Eng., Vol. 47, No. 3, 2000,
pp. 369-379.
[15]
Vivaldi, E., and A. Bassi, “Frequency Domain Analysis of Sleep EEG for Visualization and
Automated State Detection,” 28th Annual International Conference of the IEEE Engineer-
ing in Medicine and Biology Society, 2006, pp. 3740-3743.
[16]
Xu-Sheng, Z., R. Roy, and E. Jensen, “EEG Complexity as a Measure of Depth of Anesthe-
sia for Patients,” IEEE Trans. on Biomed. Eng., Vol. 48, No. 12, 2001, pp. 1424-1433.
[17]
Al-Nashash, H., and N. Thakor, “Monitoring of Global Cerebral Ischemia Using Wavelet
Entropy Rate of Change,” IEEE Trans. on Biomed. Eng ., Vol. 52, No. 12, December 2005,
pp. 2119-2122.
[18]
Shin, C., et al., “Quantitative EEG Assessment of Brain Injury and Hypothermic
Neuroprotection After Cardiac Arrest,” 28th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, August 2006, pp. 6229-6232.
[19]
Hyun-Chool, S., et al., “Quantitative EEG and Effect of Hypothermia on Brain Recovery
After
Cardiac
Arrest,”
IEEE
Trans.
on
Biomed.
Eng .,
Vol.
53,
No.
6,
2006,
pp. 1016-1023.
[20]
McEwen, J., et al., “Monitoring the Level of Anesthesia by Automatic Analysis of Sponta-
neous EEG Activity,” IEEE Trans. on Biomed. Eng., Vol. 22, No. 4, 1975, pp. 299-305.
[21]
Zhang, X., R. Roy, and E. Jensen, “EEG Complexity as a Measure of Depth of Anesthesia
for Patients,” IEEE Trans. on Biomed. Eng., Vol. 48, No. 12, 2001, pp. 1424-1433.
[22]
Latif, M., et al., “Localization of Abnormal EEG Sources Using Blind Source Separation
Partially Constrained by the Locations of Known Sources,” IEEE Signal Processing Lett.,
Vol. 13, No. 3, 2006, pp. 117-120.
[23]
Principe, J., and P. Seung-Hun Park, “An Expert System Architecture for Abnormal EEG
Discrimination,” Proceedings of the Twelfth Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, 1990, pp. 1376-1377.
[24]
Tuunainen, A., et al., “Spectral EEG During Short-Term Discontinuation of Antiepileptic
Medication in Partial Epilepsy,” Epilepsia ( NY ) , Vol. 36, 1995, pp. 817-823.
[25]
Clemens, B., G. Szigeti, and Z. Barta, “EEG Frequency Profiles of Idiopathic Generalized
Epilepsy Syndromes,” Epilepsy Res., Vol. 42, 2000, pp. 105-115.
[26]
Gevins, A. S., and A. Remond, “Methods of Analysis of Brain Electrical and Magnetic Sig-
nals,” EEG Handbook ( Revised Series ) , Vol. 1, 1987.
[27]
Borel, C., and D. F. Hanley, “Neurological Intensive Care Unit Monitoring,” in Critical
Care Clinics Symposium on Neurological Intensive Care, M. C. Rogers and R. J. Traysman,
(eds.), Philadelphia, PA: Saunders, 1985, pp. 223-239.
[28]
Agarwal, R., et al., “Automatic EEG Analysis During Long-Term Monitoring in the ICU,”
Electroencephal. Clin. Neurophysiol ., Vol. 107, 1998, pp. 44-58.
[30]
Grass, A., and F. Gibbs, “A Fourier Transform of the Electroencephalogram,” J.
Neurophysiol., Vol. 1, 1938, pp. 521-526.
[29]
Dumermuth, G., and L. Molinari, “Spectral Analysis of the EEG: Some Fundamentals
Revisited and Some Open Problems,” Neuropsychobiol ., Vol. 17, 1987, pp. 85-99.
[31]
Goel, V., et al., “Dominant Frequency Analysis of EEG Reveals Brain's Response During
Injury and Recovery,” IEEE Trans. on Biomed. Eng., Vol. 43, No. 11, 1996, pp.
1083-1092.
[32]
Bezerianos, A., et al., “Information Measures of Brain Dynamics,” Nonlinear Signal and
Image Processing Conference , Baltimore, MD, 2001.
Search WWH ::




Custom Search