Publicaciones en las que colabora con Alberto Fernández Lucas (24)

2012

  1. Brain oscillatory complexity across the life span

    Clinical Neurophysiology, Vol. 123, Núm. 11, pp. 2154-2162

2011

  1. Quantitative evaluation of artifact removal in real magnetoencephalogram signals with blind source separation

    Annals of Biomedical Engineering, Vol. 39, Núm. 8, pp. 2274-2286

  2. 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

  1. 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

  1. 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

  2. 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

  3. 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

  4. 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

  1. Applying Independent Component Analysis to the Artifact Detection Problem in Magnetoencephalogram Background Recordings

    Encyclopedia of Healthcare Information Systems, pp. 84-92

  2. 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

  3. 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

  4. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. Artifact removal in magnetoencephalogram background activity with independent component analysis

    IEEE Transactions on Biomedical Engineering, Vol. 54, Núm. 11, pp. 1965-1973

  7. Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease

    Medical Engineering and Physics, Vol. 29, Núm. 10, pp. 1073-1083

  8. 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