References - Practical Biomedical Signal Analysis Using MATLAB - page 263

ear vs. non-linear associations and the signif-
icance of time delays and phase shifts. Brain
Topogr , 2:9-18.

[Lopes da Silva et al., 2003b] Lopes da Silva, F. H., Blanes, W., Kalitzin,

S. N., Parra, J., Suffczynski, P., and Velis,
D. N. (2003b). Dynamical diseases of
brain systems: different routes to epileptic
seizures. IEEE Trans Biomed Eng , 50:540-
548.

[Lundin et al., 1994] Lundin, P., Eriksson, S., Strandberg, L., and

Rehnqvist, N. (1994). Prognostic infor-
mation from on-line vectorcardiography in
acute myocardial infarction.

Am J Cardiol ,

74:1103-1108.

[Lutkepohl, 1993] Lutkepohl, H. (1993). Introduction to Mul-

tiple Time Series Analysis . Springer-Verlag,
Berlin.

[Maestri et al., 2007] Maestri, R., Pinna, G. D., Porta, A., Baloc-

chi, R., Sassi, R., Signorini, M. G., Dudziak,
M., and Raczak, G. (2007). Assessing non-
linear properties of heart rate variability from
short-term recordings: are these measure-
ments reliable? Physiol Meas , 28:1067-

1077.

[Mainardi et al., 1995] Mainardi, L. T., Bianchi, A. M., Baselli, G.,

and Cerutti, S. (1995). Pole-tracking algo-
rithms for the extraction of time-variant heart
rate variability spectral parameters. IEEE

Trans Biomed Eng , 42:250-259.

[Makeig, 1993] Makeig, S. (1993). Auditory event-related

dynamics of the EEG spectrum and effects of
exposure to tones. Electroencephalogr Clin
Neurophysiol , 86:283-293.

[Makeig, 2000] Makeig, S. (2000). EEGLAB: ICA

toolbox for psychophysiological re-
search. World Wide Web Publication,
¡ www.sccn.ucsd.edu/eeglab/¿. WWW Site,
Swartz Center for Computational Neuro-
science, Institute of Neural Computation,
University of San Diego California.