Publikationen, an denen er mitarbeitet Javier Escudero Rodríguez (35)

2013

  1. Changes in the MEG background activity in patients with positive symptoms of schizophrenia: Spectral analysis and impact of age

    Physiological Measurement, Vol. 34, Núm. 2, pp. 265-279

2012

  1. Complexity analysis of spontaneous brain activity: Effects of depression and antidepressant treatment

    Journal of Psychopharmacology, Vol. 26, Núm. 5, pp. 636-643

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. 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

  1. 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

  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. Complexity Analysis of Spontaneous Brain Activity in Attention-Deficit/Hyperactivity Disorder: Diagnostic Implications

    Biological Psychiatry, Vol. 65, Núm. 7, pp. 571-577

  4. Electroencephalogram background activity characterization with detrended moving average in Alzheimer's disease patients

    WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings

  5. Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis. Application to electroencephalogram recordings

    Physiological Measurement, Vol. 30, Núm. 2, pp. 187-199

  6. 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

  1. 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

  2. Analysis of spontaneous MEG activity in Alzheimer's disease using time-frequency parameters

    Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

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

    Encyclopedia of Healthcare Information Systems, pp. 84-92

  4. 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

  5. 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

  6. Fractal Dimension of the EEG in Alzheimer's Disease

    Encyclopedia of Healthcare Information Systems, pp. 603-609

  7. Impact of auditory stimulation at a frequency of 5 Hz in verbal memory

    Actas Espanolas de Psiquiatria, Vol. 36, Núm. 6, pp. 307-313

  8. 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"

  9. Regional analysis of spontaneous MEG rhythms in patients with alzheimer's disease using spectral entropies

    Annals of Biomedical Engineering, Vol. 36, Núm. 1, pp. 141-152