DANIEL EMILIO
ABASOLO BAZ
Investigador no período 2001-2010
Javier
Escudero Rodríguez
Publicacións nas que colabora con Javier Escudero Rodríguez (27)
2011
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Quantitative evaluation of artifact removal in real magnetoencephalogram signals with blind source separation
Annals of Biomedical Engineering, Vol. 39, Núm. 8, pp. 2274-2286
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Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms
Physiological Measurement, Vol. 32, Núm. 8, pp. 1163-1180
2010
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Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity
Medical Engineering and Physics, Vol. 32, Núm. 10, pp. 1137-1144
2009
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Analysis of MEG background activity in Alzheimer's disease using nonlinear Methods and ANFIS
Annals of Biomedical Engineering, Vol. 37, Núm. 3, pp. 586-594
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Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease
Medical Engineering and Physics, Vol. 31, Núm. 7, pp. 872-879
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Electroencephalogram background activity characterization with detrended moving average in Alzheimer's disease patients
WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
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Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 367, Núm. 1887, pp. 317-336
2008
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A study on the possible usefulness of detrended fluctuation analysis of the electroencephalogram background activity in Alzheimer's disease
IEEE Transactions on Biomedical Engineering, Vol. 55, Núm. 9, pp. 2171-2179
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Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings
Encyclopedia of Healthcare Information Systems, pp. 84-92
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Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients
Medical and Biological Engineering and Computing, Vol. 46, Núm. 10, pp. 1019-1028
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Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation
Artificial Intelligence in Medicine, Vol. 43, Núm. 1, pp. 75-85
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Fractal Dimension of the EEG in Alzheimer's Disease
Encyclopedia of Healthcare Information Systems, pp. 603-609
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On the application of the auto mutual information rate of decrease to biomedical signals
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
2007
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Analysis of MEG recordings from Alzheimer's disease patients with sample and multiscale entropies
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
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Analysis of MEG recordings from Alzheimer's disease patients with sample and multiscale entropies.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 6184-6187
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Analysis of spontaneous MEG activity in patients with Alzheimer's disease using spectral entropies
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
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Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information
Computer Methods and Programs in Biomedicine, Vol. 87, Núm. 3, pp. 239-247
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Artifact removal in magnetoencephalogram background activity with independent component analysis
IEEE Transactions on Biomedical Engineering, Vol. 54, Núm. 11, pp. 1965-1973
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Electroencephalogram background activity characterization with approximate entropy and auto mutual information in Alzheimer's disease patients
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
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Electroencephalogram background activity characterization with approximate entropy and auto mutual information in Alzheimer's disease patients.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 6192-6195