Daniel E. Abásolo
Orcid: 0000-0002-4268-2885
According to our database1,
Daniel E. Abásolo
authored at least 46 papers
between 2003 and 2022.
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Bibliography
2022
Machine Learning Models for Weight-Bearing Activity Type Recognition Based on Accelerometry in Postmenopausal Women.
Sensors, 2022
Entropy Measures of Electroencephalograms towards the Diagnosis of Psychogenic Non-Epileptic Seizures.
Entropy, 2022
Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2019
Entropy, 2019
Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy.
Entropy, 2019
Effects of Ageing and Sex on Complexity in the Human Sleep EEG: A Comparison of Three Symbolic Dynamic Analysis Methods.
Complex., 2019
Influence of Duodenal-Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods.
Complex., 2019
2018
Fuzzy Entropy Analysis of the Electroencephalogram in Patients with Alzheimer's Disease: Is the Method Superior to Sample Entropy?
Entropy, 2018
Complexity Changes in Brain Activity in Healthy Ageing: A Permutation Lempel-Ziv Complexity Study of Magnetoencephalograms.
Entropy, 2018
2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals.
IEEE Trans. Biomed. Eng., 2017
Characterisation of the Effects of Sleep Deprivation on the Electroencephalogram Using Permutation Lempel-Ziv Complexity, a Non-Linear Analysis Tool.
Entropy, 2017
Distance-Based Lempel-Ziv Complexity for the Analysis of Electroencephalograms in Patients with Alzheimer's Disease.
Entropy, 2017
Permutation Entropy for the Characterisation of Brain Activity Recorded with Magnetoencephalograms in Healthy Ageing.
Entropy, 2017
Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease.
Entropy, 2017
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017
One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017
Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Intracranial pressure for the characterization of different types of hydrocephalus: A Permutation Entropy study.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Permutation Entropy of the Electroencephalogram Background Activity in Alzheimer's Disease - Investigation into the Incidence of Repeated Values.
Proceedings of the BIOSIGNALS 2014, 2014
2013
Analysis of intracranial pressure signals recorded during infusion studies using the spectral entropy.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
The correlation between white-matter microstructure and the complexity of spontaneous brain activity: A difussion tensor imaging-MEG study.
NeuroImage, 2011
2010
Optimal parameters study for sample entropy-based atrial fibrillation organization analysis.
Comput. Methods Programs Biomed., 2010
2009
Intell. Autom. Soft Comput., 2009
Comput. Methods Programs Biomed., 2009
2008
A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2008
Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients.
Medical Biol. Eng. Comput., 2008
Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease.
Comput. Methods Programs Biomed., 2008
Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation.
Artif. Intell. Medicine, 2008
2007
Utility of Approximate Entropy From Overnight Pulse Oximetry Data in the Diagnosis of the Obstructive Sleep Apnea Syndrome.
IEEE Trans. Biomed. Eng., 2007
Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis.
IEEE Trans. Biomed. Eng., 2007
Analysis of intracranial pressure during acute intracranial hypertension using Lempel-Ziv complexity: further evidence.
Medical Biol. Eng. Comput., 2007
Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy.
Medical Biol. Eng. Comput., 2007
Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information.
Comput. Methods Programs Biomed., 2007
2006
Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects.
IEEE Trans. Biomed. Eng., 2006
Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis.
IEEE Trans. Biomed. Eng., 2006
Artif. Intell. Medicine, 2006
Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension.
IEEE Trans. Biomed. Eng., 2005
2003
Use of wavelet entropy to compare the EEG background activity of epileptic patients and control subjects.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003