References - Practical Biomedical Signal Analysis Using MATLAB - page 246

multichannel intramuscular EMG signals. J
Electromyogr Kinesiol , 19:1-9.

[Folland and Sitaram, 1997] Folland, G. and Sitaram, A. (1997). The

uncertainty principle: A mathematical sur-
vey. Journal of Fourier Analysis and Appli-
cations , 3(3):207-238.

[Franaszczuk and Blinowska, 1985] Franaszczuk, P. and Blinowska, K. (1985).

Linear model of brain electrical activity -
EEG as a superposition of damped oscilla-
tory modes. Biol Cybern , 53:19-25.

[Franaszczuk et al., 1985] Franaszczuk, P., Blinowska, K., and Kowal-

czyk, M. (1985). The application of para-
metric multichannel spectral estimates in the
study of electrical brain activity. Biol Cy-

bern , 51:239-247.

[Franaszczuk and Bergey, 1999] Franaszczuk, P. J. and Bergey, G. K. (1999).

An autoregressive method for the measure-
ment of synchronization of interictal and ic-
tal EEG signals. Biol Cybern , 81:3-9.

[Franaszczuk et al., 1994] Franaszczuk, P. J., Bergey, G. K., and

Kaminski, M. J. (1994). Analysis of
mesial temporal seizure onset and propa-
gation using the directed transfer function
method. Electroencephalogr Clin Neuro-
physiol , 91:413-427.

[Franaszczuk et al., 1989] Franaszczuk, P. J., Mitraszewski, P., and Bli-

nowska, K. (1989). FAD-parametric descrip-
tion of EEG time series. Acta Physiol Pol ,

40:418-422.

[Freeman, 1975] Freeman, W. (1975). Mass Action in the Ner-

vous System . Academic Press, New York.

[Friston et al., 2007] Friston, K., Ashburner, J., Kiebel, S.,

Nichols, T., and Penny, W., editors (2007).
Statistical Parametric Mapping: The Analy-
sis of Functional Brain Images .

Academic

Press.

[Fuglsang-Frederiksen, 2000] Fuglsang-Frederiksen, A. (2000). The util-

ity of interference pattern analysis. Muscle

Nerve , 23:18-36.