Javier Escudero

Summary

Publications

  1. doi request reprint Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's disease
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, Plymouth University, Plymouth, UK
    J Alzheimers Dis 32:997-1010. 2012
  2. doi request reprint Changes in the MEG background activity in patients with positive symptoms of schizophrenia: spectral analysis and impact of age
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, Plymouth University, PL4 8AA, Plymouth, UK
    Physiol Meas 34:265-79. 2013
  3. doi request reprint Machine learning-based method for personalized and cost-effective detection of Alzheimer's disease
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, Plymouth University, Plymouth, PL4 8AA, UK
    IEEE Trans Biomed Eng 60:164-8. 2013
  4. doi request reprint Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK
    Conf Proc IEEE Eng Med Biol Soc 2011:7957-60. 2011
  5. doi request reprint Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK
    Conf Proc IEEE Eng Med Biol Soc 2011:6470-3. 2011
  6. doi request reprint Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms
    Javier Escudero
    Signal Processing and Multimedia Communication, School of Computing and Mathematics, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
    Physiol Meas 32:1163-80. 2011
  7. doi request reprint On the application of the auto mutual information rate of decrease to biomedical signals
    Javier Escudero
    University of Valladolid, Camino del Cementerio s n, 47011, Spain
    Conf Proc IEEE Eng Med Biol Soc 2008:2137-40. 2008
  8. doi request reprint Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation
    Javier Escudero
    Grupo de Ingeniería Biomédica, E T S Ingenieros de Telecomunicación, University of Valladolid, 47011 Valladolid, Spain
    Artif Intell Med 43:75-85. 2008
  9. ncbi request reprint Artifact removal in magnetoencephalogram background activity with independent component analysis
    Javier Escudero
    ETS Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    IEEE Trans Biomed Eng 54:1965-73. 2007
  10. doi request reprint Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease
    Javier Escudero
    Biomedical Engineering Group, E T S Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    Med Eng Phys 31:872-9. 2009

Detail Information

Publications27

  1. doi request reprint Bioprofile analysis: a new approach for the analysis of biomedical data in Alzheimer's disease
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, Plymouth University, Plymouth, UK
    J Alzheimers Dis 32:997-1010. 2012
    ..Furthermore, the concept of the Bioprofile could be extended to other neurodegenerative diseases...
  2. doi request reprint Changes in the MEG background activity in patients with positive symptoms of schizophrenia: spectral analysis and impact of age
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, Plymouth University, PL4 8AA, Plymouth, UK
    Physiol Meas 34:265-79. 2013
    ..3% accuracy and an area under the ROC curve of 0.741. Thus, the spectral and classification analysis of the MEG in SCH may provide insights into how this condition affects the brain activity and may help in its early detection...
  3. doi request reprint Machine learning-based method for personalized and cost-effective detection of Alzheimer's disease
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, Plymouth University, Plymouth, PL4 8AA, UK
    IEEE Trans Biomed Eng 60:164-8. 2013
    ..Thus, it may contribute to a personalized and effective detection of AD, and may prove useful in clinical settings...
  4. doi request reprint Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK
    Conf Proc IEEE Eng Med Biol Soc 2011:7957-60. 2011
    ..Using the hippocampal volume as an outcome measure, we found that the required group sizes for the CTs were reduced from 197 to 117 AD patients and from 366 to 215 MCI subjects...
  5. doi request reprint Early detection and characterization of Alzheimer's disease in clinical scenarios using Bioprofile concepts and K-means
    Javier Escudero
    Signal Processing and Multimedia Communications Research Group, School of Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK
    Conf Proc IEEE Eng Med Biol Soc 2011:6470-3. 2011
    ..Furthermore, the Bioprofile could help in the early detection of AD at the MCI stage since it divided the MCI subjects into groups with different rates of conversion to AD...
  6. doi request reprint Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms
    Javier Escudero
    Signal Processing and Multimedia Communication, School of Computing and Mathematics, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK
    Physiol Meas 32:1163-80. 2011
    ..4% and 77.3% accuracies, respectively, in a full leave-one-out cross-validation evaluation. These values were higher than those obtained without the proposed extraction methodology...
  7. doi request reprint On the application of the auto mutual information rate of decrease to biomedical signals
    Javier Escudero
    University of Valladolid, Camino del Cementerio s n, 47011, Spain
    Conf Proc IEEE Eng Med Biol Soc 2008:2137-40. 2008
    ..Our results show that the AMIFRD can detect changes in the non-linear dynamics of a sequence and that it can distinguish different physiological conditions...
  8. doi request reprint Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation
    Javier Escudero
    Grupo de Ingeniería Biomédica, E T S Ingenieros de Telecomunicación, University of Valladolid, 47011 Valladolid, Spain
    Artif Intell Med 43:75-85. 2008
    ....
  9. ncbi request reprint Artifact removal in magnetoencephalogram background activity with independent component analysis
    Javier Escudero
    ETS Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    IEEE Trans Biomed Eng 54:1965-73. 2007
    ..Moreover, the cardiac artifact was better recognized by its skewness value than by its kurtosis one. Finally, the MEG signals were compared before and after artifact rejection to evaluate our method...
  10. doi request reprint Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings. Application to Alzheimer's disease
    Javier Escudero
    Biomedical Engineering Group, E T S Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    Med Eng Phys 31:872-9. 2009
    ..This preprocessing increased the AUCs between 0.013 and 0.227, while the accuracy for SpecEn, LZC and SampEn rose between 6.4% and 22.6%, improving the separation between AD patients and control subjects...
  11. doi request reprint Consistency of the blind source separation computed with five common algorithms for magnetoencephalogram background activity
    Javier Escudero
    Biomedical Engineering Group, E T S I Telecomunicación, University of Valladolid, 47011, Valladolid, Spain
    Med Eng Phys 32:1137-44. 2010
    ....
  12. doi request reprint Quantitative evaluation of artifact removal in real magnetoencephalogram signals with blind source separation
    Javier Escudero
    Signal Processing and Multimedia Communications, School of Computing and Mathematics, University of Plymouth, Plymouth, PL4 8AA, UK
    Ann Biomed Eng 39:2274-86. 2011
    ..Finally, the PLN was reduced by means of a spectral metric. These findings confirm the utility of BSS to help in the artifact removal for MEG background activity...
  13. ncbi request reprint Magnetoencephalogram blind source separation and component selection procedure to improve the diagnosis of Alzheimer's disease patients
    Javier Escudero
    Biomedical Engineering Group, E T S I Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 2007:5437-40. 2007
    ..By means of a linear discriminant analysis, we found that the BSS-preprocessed MEGs classified the subjects with an accuracy of 80.6%, whereas 72.2% accuracy was obtained without the BSS and component selection procedure...
  14. doi request reprint Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis. Application to electroencephalogram recordings
    Javier Escudero
    Biomedical Engineering Group, E T S I Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011, Valladolid, Spain
    Physiol Meas 30:187-99. 2009
    ....
  15. ncbi request reprint Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis
    Javier Escudero
    E T S Ingenieros de Telecommunicación, University of Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 1:5282-5. 2006
    ..We found that the power line interference could be easily detected by its frequency characteristics. Moreover, skewness outperformed kurtosis when identifying the cardiac artifact...
  16. doi request reprint Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease
    Roberto Hornero
    Biomedical Engineering Group, E T S I Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    Philos Transact A Math Phys Eng Sci 367:317-36. 2009
    ..In line with previous studies, our work suggests that nonlinear analysis techniques could be useful in AD diagnosis...
  17. ncbi request reprint Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information
    Carlos Gomez
    E T S Ingenieros de Telecomunicación, Valladolid Univ, Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 1:6181-4. 2006
    ..01, Student's t-test) in most channels. These preliminary results suggest that neuronal dysfunction in AD is associated with differences in the dynamical processes underlying the MEG recording...
  18. ncbi request reprint Analysis of MEG recordings from Alzheimer's disease patients with sample and multiscale entropies
    Carlos Gomez
    Biomedical Engineering Group, Department of Signal Theory and Communications, E T S Ingenieros de Telecomunicación, University of Valladolid, Campus Miguel Delibes, 47011 Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 2007:6184-7. 2007
    ..Using receiver operating characteristic curves, accuracies of 75.6% with SampEn and of 87.8% with MSE were reached. Our findings show the usefulness of these entropy measures to increase our insight into AD...
  19. ncbi request reprint Analysis of spontaneous MEG activity in patients with Alzheimer's disease using spectral entropies
    Jesus Poza
    Biomedical Engineering Group GIB, Department T S C I T, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 2007:6180-3. 2007
    ..Entropies obtained statistically significant lower values for AD patients than for controls. This issue suggests a significant decrease in irregularity of AD patients' MEG activity...
  20. ncbi request reprint Electroencephalogram background activity characterization with approximate entropy and auto mutual information in Alzheimer's disease patients
    Daniel Abasolo
    Biomedical Engineering Group, Department of Signal Theory and Communications, E T S I de Telecomunicacion, University of Valladolid, Camino del Cementerio s n, 47011, Valladolid, Spain
    Conf Proc IEEE Eng Med Biol Soc 2007:6192-5. 2007
    ..The decreased irregularity found in AD patients suggests that EEG analysis with ApEn and AMI could help to increase our insight into brain dysfunction in AD...
  21. ncbi request reprint Spectral and nonlinear analyses of MEG background activity in patients with Alzheimer's disease
    Roberto Hornero
    Department of Signal Theory and Communications, Escuela Técnica Superior ETS de Ingenieros de Telecomunicación, University of Valladolid, Valladolid 47011, Spain
    IEEE Trans Biomed Eng 55:1658-65. 2008
    ..In this model, an accuracy of 80.5% (80.0% sensitivity, 81.0% specificity) was achieved. We conclude that spectral and nonlinear analyses from spontaneous MEG activity could be complementary methods to help in AD detection...
  22. doi request reprint Analysis of spontaneous MEG activity in Alzheimer's disease using time-frequency parameters
    Jesus Poza
    Biomedical Engineering Group GIB, Dpt TSCIT, University of Valladolid, Camino del Cementerio s n, 47011, Spain
    Conf Proc IEEE Eng Med Biol Soc 2008:5712-5. 2008
    ..We conclude that the variability of the spectral parameters can yield complementary information to the mean values, useful to help in AD detection...
  23. doi request reprint Analysis of MEG background activity in Alzheimer's disease using nonlinear methods and ANFIS
    Carlos Gomez
    Biomedical Engineering Group, Department of Signal Theory and Communications, E T S Ingenieros de Telecomunicación, University of Valladolid, Campus Miguel Delibes, Camino del Cementerio s n, 47011 Valladolid, Spain
    Ann Biomed Eng 37:586-94. 2009
    ..With this classifier, an accuracy of 85.37% was achieved. Our findings suggest the usefulness of our methodology to increase our insight into AD...
  24. ncbi request reprint Regional analysis of spontaneous MEG rhythms in patients with Alzheimer's disease using spectral entropies
    Jesus Poza
    Biomedical Engineering Group, Department T S C I T, E T S Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011, Valladolid, Spain
    Ann Biomed Eng 36:141-52. 2008
    ..The statistically significant results obtained by both the extensive (SSE and RSE) and non-extensive (TSE) spectral entropies suggest that AD could disturb long and short-range interactions causing an abnormal brain function...
  25. doi request reprint A study on the possible usefulness of detrended fluctuation analysis of the electroencephalogram background activity in Alzheimer's disease
    Daniel Abasolo
    Biomedical Engineering Group, Department of Signal Theory and Communications, E T S I de Telecomunicacion, University of Valladolid, 47011 Valladolid, Spain
    IEEE Trans Biomed Eng 55:2171-9. 2008
    ..Thus, although spectral analysis outperforms DFA, the combined use of both techniques may increase the insight into brain dysfunction in AD...
  26. ncbi request reprint Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information
    Carlos Gomez
    Biomedical Engineering Group, E T S Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s n, 47011 Valladolid, Spain
    Comput Methods Programs Biomed 87:239-47. 2007
    ..This study suggests that AMI might help medical doctors in the diagnosis of the disease...
  27. doi request reprint Single channel-based myoelectric control of hand movements with Empirical Mode Decomposition
    Ali H Al-Timemy
    Centre for Robotics and Neural Systems, School of Computing and Mathematics, University of Plymouth, Plymouth, United Kingdom
    Conf Proc IEEE Eng Med Biol Soc 2011:6059-62. 2011
    ..This will reduce the computational cost of applying only one channel EMG and facilitates the acquisition of the EMG. The main drawback of using EMD technique is that it is not suitable for real time processing of prosthetic control...