Daniel Abásolo

22 papers C 1Journal 12Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EEG Complexity Analysis of Psychogenic Non-Epileptic and Epileptic Seizures Using Entropy and Machine Learning. Entropy Hesam Shokouh Alaei, Samaneh Kouchaki, Mahinda Yogarajah, Daniel Abásolo
2024	J	`jnl`	Brain health in diverse settings: How age, demographics and cognition shape brain function. NeuroImage 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, Rodrigo A. Gonzalez-Montealegre, Tuba Aktürk, Ebru Yildirim, Renato Anghinah, Agustina Legaz, Sol Fittipaldi, Görsev Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez, Robert Whelan, Alberto A Fernández Lucas, Adolfo M. García, David Huepe, Gaetano Di Caterina, Marcio Soto-Añari, Agustina Birba, Agustin Sainz-Ballesteros, Carlos Coronel-Oliveros, Eduar Herrera, Daniel Abásolo, Kerry Kilborn, Nicolás Rubido, Ruaridh A. Clark, Rubén Herzog, Deniz Yerlikaya, Bahar Güntekin, Mario A. Parra, Pavel Prado, Agustín Ibáñez
2022	—	`conf`	A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment. EMBC Rachel Drage, Javier Escudero, Mario A. Parra, Brian Scally, Renato Anghinah, Amanda Vitória Lacerda De Araújo, Luis F. Basile, Daniel Abásolo
2022	—	`conf`	Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures. EMBC Chloe Hinchliffe, Mahinda Yogarajah, Lilian Tang, Daniel Abásolo
2022	J	`jnl`	Machine Learning Models for Weight-Bearing Activity Type Recognition Based on Accelerometry in Postmenopausal Women. Sensors Cameron J. Huggins, Rebecca Clarke, Daniel Abásolo, Erreka Gil-Rey, Jonathan H. Tobias, Kevin Deere, Sarah J. Allison
2019	J	`jnl`	Interpretation of Entropy Algorithms in the Context of Biomedical Signal Analysis and Their Application to EEG Analysis in Epilepsy. Entropy Lampros Chrysovalantis Amarantidis, Daniel Abásolo
2019	J	`jnl`	Recent Improvements on Complexity Measures for Time Series. Complex. David Cuesta-Frau, Daniel Abásolo, Daniel Novák
2019	J	`jnl`	Sex Differences in the Complexity of Healthy Older Adults' Magnetoencephalograms. Entropy Elizabeth Shumbayawonda, Daniel Abásolo, David López-Sanz, Ricardo Bruña, Fernando Maestú, Alberto Fernández
2018	J	`jnl`	Complexity Changes in Brain Activity in Healthy Ageing: A Permutation Lempel-Ziv Complexity Study of Magnetoencephalograms. Entropy Elizabeth Shumbayawonda, Pinar Deniz Tosun, Alberto Fernández, Michael Pycraft Hughes, Daniel Abásolo
2018	J	`jnl`	Fuzzy Entropy Analysis of the Electroencephalogram in Patients with Alzheimer's Disease: Is the Method Superior to Sample Entropy? Entropy Samantha Simons, Pedro Espino, Daniel Abásolo
2017	—	`conf`	Characterisation of Resting Brain Network Topologies across the Human Lifespan with Magnetoencephalogram Recordings: A Phase Slope Index and Granger Causality Comparison Study. BIOSIGNALS Elizabeth Shumbayawonda, Alberto Fernández, Javier Escudero, Michael Pycraft Hughes, Daniel Abásolo
2017	J	`jnl`	Characterisation of the Effects of Sleep Deprivation on the Electroencephalogram Using Permutation Lempel-Ziv Complexity, a Non-Linear Analysis Tool. Entropy Pinar Deniz Tosun, Daniel Abásolo, Gillian Stenson, Raphaelle Winsky-Sommerer
2017	J	`jnl`	Distance-Based Lempel-Ziv Complexity for the Analysis of Electroencephalograms in Patients with Alzheimer's Disease. Entropy Samantha Simons, Daniel Abásolo
2017	—	`conf`	One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease. DSP Santosh Tirunagari, Samaneh Kouchaki, Daniel Abásolo, Norman Poh
2017	J	`jnl`	Permutation Entropy for the Characterisation of Brain Activity Recorded with Magnetoencephalograms in Healthy Ageing. Entropy Elizabeth Shumbayawonda, Alberto Fernández, Michael Pycraft Hughes, Daniel Abásolo
2017	J	`jnl`	Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease. Entropy Hamed Azami, Daniel Abásolo, Samantha Simons, Javier Escudero
2017	C	`conf`	Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease. CIBCB Santosh Tirunagari, Daniel Abásolo, Aamo Iorliam, Anthony T. S. Ho, Norman Poh
2016	—	`conf`	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. EMBC Keith Smith, Daniel Abásolo, Javier Escudero
2016	—	`conf`	Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease. EMBC Javier Escudero, Keith Smith, Hamed Azami, Daniel Abásolo
2015	—	`conf`	Intracranial pressure for the characterization of different types of hydrocephalus: A Permutation Entropy study. EMBC Tricia Adjei, Daniel Abásolo, David Santamarta
2015	—	`conf`	Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms. EMBC Samantha Simons, Daniel Abásolo, Paul Sauseng
2014	—	`conf`	Permutation Entropy of the Electroencephalogram Background Activity in Alzheimer's Disease - Investigation into the Incidence of Repeated Values. BIOSIGNALS Samantha Simons, Daniel Abásolo