Changes in the MEG background activity in patients with positive symptoms of schizophrenia: spectral analysis and impact of ageJavier 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...
- 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...
- 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...
- 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...
Magnetoencephalogram blind source separation and component selection procedure to improve the diagnosis of Alzheimer's disease patientsJavier 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...
- 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
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- 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...
- 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...
- 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...
- 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
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- 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...
- 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
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- 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...
- 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...
- 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...
- 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...
- 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...
- 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 Trans 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
- 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...
