Biomedical Engineering Reference
In-Depth Information
tial conduction velocity changes studied with
frequency analysis of EMG signals.
Elec-
tromyography , 10:341-356.
[Linssen et al., 1993]
Linssen, W. H., Stegeman, D. F., Joosten,
E. M., van't Hof, M. A., Binkhorst, R. A.,
and Notermans, S. L. (1993). Variability
and interrelationships of surface EMG pa-
rameters during local muscle fatigue. Muscle
Nerve , 16(8):849-856.
[Liston et al., 2006]
Liston, A. D., De Munck, J. C., Hamandi,
K., Laufs, H., Ossenblok, P., Duncan, J. S.,
and Lemieux, L. (2006). Analysis of EEG-
fMRI data in focal epilepsy based on auto-
mated spike classification and Signal Space
Projection. Neuroimage , 31:1015-1024.
[Liu et al., 2010]
Liu, G., Wu, D., Zhao, G., Huang, B.-Y.,
Mei, Z.-Y., Y-W, G., and Wang, L. (2010).
Use of refined sample entropy and heart rate
variability to assess the effects of wearable
respiratory biofeedback. In 3rd Interna-
tional Conference on Biomedical Engineer-
ing and Informatics (BMEI), 2010 , pages
1915-1919.
[Lombardi et al., 1987]
Lombardi, F., Sandrone, G., Pernpruner, S.,
Sala, R., Garimoldi, M., Cerutti, S., Baselli,
G., Pagani, M., and Malliani, A. (1987).
Heart rate variability as an index of sympa-
thovagal interaction after acute myocardial
infarction. Am J Cardiol , 60:1239-1245.
[Lopes da Silva, 1996]
Lopes da Silva, F. (1996). Comprehensive
Human Physiology , chapter The generation
of electric and magnetic signals of the brain
by local networks. Springer-Verlag.
[Lopes da Silva et al., 2003a]
Lopes da Silva, F., Blanes, W., Kalitzin,
S., Parra, J., Suffczynski, P., and Velis, D.
(2003a). Epilepsies as dynamical diseases
of brain systems: basic models of the tran-
sition between normal and epileptic activity.
Epilepsia , 44(s12):72-83.
[Lopes da Silva et al., 1989]
Lopes da Silva, F., Pijn, J., and Boeijinga, P.
(1989). Interdependence of EEG signals: lin-
Search WWH ::




Custom Search