DANIEL EMILIO
ABASOLO BAZ
Investigador en el període 2001-2010
Alberto
Fernández Lucas
Publicacions en què col·labora amb Alberto Fernández Lucas (24)
2012
-
Brain oscillatory complexity across the life span
Clinical Neurophysiology, Vol. 123, Núm. 11, pp. 2154-2162
2011
-
Quantitative evaluation of artifact removal in real magnetoencephalogram signals with blind source separation
Annals of Biomedical Engineering, Vol. 39, Núm. 8, pp. 2274-2286
-
The correlation between white-matter microstructure and the complexity of spontaneous brain activity: A difussion tensor imaging-MEG study
NeuroImage, Vol. 57, Núm. 4, pp. 1300-1307
2010
-
MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
2009
-
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
-
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
-
Study of the MEG background activity in Alzheimer's disease patients with scaling analysis methods
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
-
Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients
Medical Engineering and Physics, Vol. 31, Núm. 3, pp. 306-313
2008
-
Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings
Encyclopedia of Healthcare Information Systems, pp. 84-92
-
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
-
Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease
Computer Methods and Programs in Biomedicine, Vol. 90, Núm. 2, pp. 137-147
-
Nonlinear forecasting measurement of magnetoencephalogram recordings from Alzheimer's disease patients
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
2007
-
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
-
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
-
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
-
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
-
Análisis de la señal de electroencefalograma (eeg) y magnetoencefalograma (meg) para la ayuda en el diagnóstico de la enfermedad de Alzheimer
Procesado de señales biomédicas (Ediciones de la Universidad de Castilla-La Mancha), pp. 117-146
-
Artifact removal in magnetoencephalogram background activity with independent component analysis
IEEE Transactions on Biomedical Engineering, Vol. 54, Núm. 11, pp. 1965-1973
-
Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease
Medical Engineering and Physics, Vol. 29, Núm. 10, pp. 1073-1083
-
Magnetoencephalogram blind source separation and component selection procedure to improve the diagnosis of Alzheimer's disease patients
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings