Use of wavelet entropy to compare the EEG background activity of epileptic patients and control subjects. - Roberto Hornero; Daniel E. Abásolo; Pedro Espino (ISSPA (2), 2003)

Interpretation of approximate entropy: analysis of intracranial pressure approximate entropy during acute intracranial hypertension. - Roberto Hornero; Mateo Aboy; Daniel E. Abásolo; James McNames; Brahm Goldstein (IEEE Trans. Biomed. Eng., 2005)

Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis. - Javier Escudero; Roberto Hornero; Daniel E. Abásolo; Jesús Poza; Alberto Fernández 004; Miguel López Coronado (EMBC, 2006)

Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information. - Carlos Gómez; Roberto Hornero; Alberto Fernández 004; Daniel E. Abásolo; Javier Escudero; Miguel López Coronado (EMBC, 2006)

Oxygen saturation regularity analysis in the diagnosis of obstructive sleep apnea. - Félix del Campo; Roberto Hornero; Carlos Zamarrón; Daniel E. Abásolo; Daniel Álvarez (Artif. Intell. Medicine, 2006)

Interpretation of the Lempel-Ziv Complexity Measure in the Context of Biomedical Signal Analysis. - Mateo Aboy; Roberto Hornero; Daniel E. Abásolo; Daniel Álvarez (IEEE Trans. Biomed. Eng., 2006)

Variability, regularity, and complexity of time series generated by schizophrenic patients and control subjects. - Roberto Hornero; Daniel E. Abásolo; Natalia Jimeno; Clara I. Sánchez; Jesús Poza; Mateo Aboy (IEEE Trans. Biomed. Eng., 2006)

Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information. - Carlos Gómez; Roberto Hornero; Daniel E. Abásolo; Alberto Fernández 004; Javier Escudero (Comput. Methods Programs Biomed., 2007)

Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy. - David Cuesta; Manuel Varela; Pau Miró; P. Galdós; Daniel E. Abásolo; Roberto Hornero; Mateo Aboy (Medical Biol. Eng. Comput., 2007)

Analysis of intracranial pressure during acute intracranial hypertension using Lempel-Ziv complexity: further evidence. - Roberto Hornero; Mateo Aboy; Daniel E. Abásolo (Medical Biol. Eng. Comput., 2007)

Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis. - Javier Escudero; Roberto Hornero; Daniel E. Abásolo; Alberto Fernández 004; Miguel López Coronado (IEEE Trans. Biomed. Eng., 2007)

Utility of Approximate Entropy From Overnight Pulse Oximetry Data in the Diagnosis of the Obstructive Sleep Apnea Syndrome. - Roberto Hornero; Daniel Álvarez; Daniel E. Abásolo; Félix del Campo; Carlos Zamarrón (IEEE Trans. Biomed. Eng., 2007)

Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation. - Javier Escudero; Roberto Hornero; Jesús Poza; Daniel E. Abásolo; Alberto Fernández 004 (Artif. Intell. Medicine, 2008)

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease. - Jesús Poza; Roberto Hornero; Daniel E. Abásolo; Alberto Fernández 004; Agustín Mayo (Comput. Methods Programs Biomed., 2008)

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients. - Daniel E. Abásolo; Javier Escudero; Roberto Hornero; Carlos Gómez; Pedro Espino (Medical Biol. Eng. Comput., 2008)

A Study on the Possible Usefulness of Detrended Fluctuation Analysis of the Electroencephalogram Background Activity in Alzheimer's Disease. - Daniel E. Abásolo; Roberto Hornero; Javier Escudero; Pedro Espino (IEEE Trans. Biomed. Eng., 2008)

Neural network based detection of hard exudates in retinal images. - María García; Clara I. Sánchez; María Isabel López; Daniel E. Abásolo; Roberto Hornero (Comput. Methods Programs Biomed., 2009)

Approximate Entropy of EEG Background Activity in Alzheimer's Disease Patients. - Daniel E. Abásolo; Roberto Hornero; Pedro Espino (Intell. Autom. Soft Comput., 2009)

Optimal parameters study for sample entropy-based atrial fibrillation organization analysis. - Raúl Alcaraz 001; Daniel E. Abásolo; Roberto Hornero; José Joaquín Rieta (Comput. Methods Programs Biomed., 2010)

The correlation between white-matter microstructure and the complexity of spontaneous brain activity: A difussion tensor imaging-MEG study. - Alberto Fernández 004; Marcos Ríos-Lago; Daniel E. Abásolo; Roberto Hornero; Juan Alvarez-Linera; Nuria Paul; Fernando Maestú; Tomás Ortiz (NeuroImage, 2011)

Analysis of intracranial pressure signals recorded during infusion studies using the spectral entropy. - María García; Jesús Poza; Daniel E. Abásolo; David Santamarta; Roberto Hornero (EMBC, 2013)

Permutation Entropy of the Electroencephalogram Background Activity in Alzheimer's Disease - Investigation into the Incidence of Repeated Values. - Samantha Simons; Daniel Abásolo (BIOSIGNALS, 2014)

Intracranial pressure for the characterization of different types of hydrocephalus: A Permutation Entropy study. - Tricia Adjei; Daniel Abásolo; David Santamarta (EMBC, 2015)

Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms. - Samantha Simons; Daniel Abásolo; Paul Sauseng (EMBC, 2015)

Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease. - Javier Escudero; Keith Smith; Hamed Azami; Daniel Abásolo (EMBC, 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. - Keith Smith; Daniel Abásolo; Javier Escudero (EMBC, 2016)

Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study. - Elizabeth Shumbayawonda; Alberto Fernández 004; Javier Escudero; Michael Pycraft Hughes; Daniel Abásolo (BIOSIGNALS, 2017)

Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease. - Santosh Tirunagari; Daniel Abásolo; Aamo Iorliam; Anthony T. S. Ho; Norman Poh (CIBCB, 2017)

One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease. - Santosh Tirunagari; Samaneh Kouchaki; Daniel Abásolo; Norman Poh (DSP, 2017)

Synchronisation likelihood analysis of the effects of age on the brain. - Elizabeth Shumbayawonda; Alberto Fernández 004; Michael Pycraft Hughes; Daniel E. Abásolo (IEEE SENSORS, 2017)

Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease. - Hamed Azami; Daniel Abásolo; Samantha Simons; Javier Escudero (Entropy, 2017)

Permutation Entropy for the Characterisation of Brain Activity Recorded with Magnetoencephalograms in Healthy Ageing. - Elizabeth Shumbayawonda; Alberto Fernández 004; Michael Pycraft Hughes; Daniel Abásolo (Entropy, 2017)

Distance-Based Lempel-Ziv Complexity for the Analysis of Electroencephalograms in Patients with Alzheimer's Disease. - Samantha Simons; Daniel Abásolo (Entropy, 2017)

Characterisation of the Effects of Sleep Deprivation on the Electroencephalogram Using Permutation Lempel-Ziv Complexity, a Non-Linear Analysis Tool. - Pinar Deniz Tosun; Daniel Abásolo; Gillian Stenson; Raphaelle Winsky-Sommerer (Entropy, 2017)

Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals. - Hamed Azami; Mostafa Rostaghi; Daniel E. Abásolo; Javier Escudero (IEEE Trans. Biomed. Eng., 2017)

Complexity Changes in Brain Activity in Healthy Ageing: A Permutation Lempel-Ziv Complexity Study of Magnetoencephalograms. - Elizabeth Shumbayawonda; Pinar Deniz Tosun; Alberto Fernández 004; Michael Pycraft Hughes; Daniel Abásolo (Entropy, 2018)

Fuzzy Entropy Analysis of the Electroencephalogram in Patients with Alzheimer's Disease: Is the Method Superior to Sample Entropy? - Samantha Simons; Pedro Espino; Daniel Abásolo (Entropy, 2018)

Recent Improvements on Complexity Measures for Time Series. - David Cuesta-Frau; Daniel Abásolo; Daniel Novák (Complex., 2019)

Influence of Duodenal-Jejunal Implantation on Glucose Dynamics: A Pilot Study Using Different Nonlinear Methods. - David Cuesta-Frau; Daniel Novák; Vaclav Burda; Daniel E. Abásolo; Tricia Adjei; Manuel Varela; Borja Vargas; Milos Mraz; Petra Kavalkova; Marek Benes; Martin Haluzik (Complex., 2019)

Effects of Ageing and Sex on Complexity in the Human Sleep EEG: A Comparison of Three Symbolic Dynamic Analysis Methods. - Pinar Deniz Tosun; Derk-Jan Dijk; Raphaelle Winsky-Sommerer; Daniel E. Abásolo (Complex., 2019)

Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy. - Lampros Chrysovalantis Amarantidis; Daniel Abásolo (Entropy, 2019)

Sex Differences in the Complexity of Healthy Older Adults' Magnetoencephalograms. - Elizabeth Shumbayawonda; Daniel Abásolo; David López-Sanz; Ricardo Bruña; Fernando Maestú; Alberto Fernández 004 (Entropy, 2019)

A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment. - Rachel Drage; Javier Escudero; Mario A. Parra; Brian Scally; Renato Anghinah; Amanda Vitória Lacerda De Araújo; Luis F. Basile; Daniel Abásolo (EMBC, 2022)

Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures. - Chloe Hinchliffe; Mahinda Yogarajah; Lilian Tang; Daniel Abásolo (EMBC, 2022)

Entropy Measures of Electroencephalograms towards the Diagnosis of Psychogenic Non-Epileptic Seizures. - Chloe Hinchliffe; Mahinda Yogarajah; Samia Elkommos; Hongying Tang; Daniel E. Abásolo (Entropy, 2022)

Machine Learning Models for Weight-Bearing Activity Type Recognition Based on Accelerometry in Postmenopausal Women. - Cameron J. Huggins; Rebecca Clarke; Daniel Abásolo; Erreka Gil-Rey; Jonathan H. Tobias; Kevin Deere; Sarah J. Allison (Sensors, 2022)

Brain health in diverse settings: How age, demographics and cognition shape brain function. - Hernan Hernandez; Sandra Baez; Vicente Medel; Sebastian Moguilner; Jhosmary Cuadros; Hernando Santamaría-García; Enzo Tagliazucchi; Pedro A. Valdés-Sosa; Francisco Lopera; John Fredy Ochoa-Gómez; Alfredis González-Hernández; Jasmin Bonilla-Santos; et al. (NeuroImage, 2024)