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Items: 1 to 20 of 59

1.

Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation.

Smith K, Abásolo D, Escudero J.

PLoS One. 2017 Oct 20;12(10):e0186164. doi: 10.1371/journal.pone.0186164. eCollection 2017.

2.

Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals.

Azami H, Rostaghi M, Abasolo D, Escudero J.

IEEE Trans Biomed Eng. 2017 Dec;64(12):2872-2879. doi: 10.1109/TBME.2017.2679136. Epub 2017 Mar 8.

PMID:
28287954
3.

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.

Smith K, Abasolo D, Escudero J.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2826-2829. doi: 10.1109/EMBC.2016.7591318.

PMID:
28268906
4.

Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease.

Escudero J, Smith K, Azami H, Abasolo D.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2810-2813. doi: 10.1109/EMBC.2016.7591314.

PMID:
28268902
5.
6.

Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalograms.

Simons S, Abasolo D, Sauseng P.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:7414-7. doi: 10.1109/EMBC.2015.7320105.

PMID:
26738005
7.

Intracranial pressure for the characterization of different types of hydrocephalus: A Permutation Entropy study.

Adjei T, Abásolo D, Santamarta D.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:4198-201. doi: 10.1109/EMBC.2015.7319320.

PMID:
26737220
8.

Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogram.

Simons S, Abasolo D, Escudero J.

Healthc Technol Lett. 2015 May 21;2(3):70-3. doi: 10.1049/htl.2014.0106. eCollection 2015 Jun.

9.

Alteration of the P-wave non-linear dynamics near the onset of paroxysmal atrial fibrillation.

Martínez A, Abásolo D, Alcaraz R, Rieta JJ.

Med Eng Phys. 2015 Jul;37(7):692-7. doi: 10.1016/j.medengphy.2015.03.021. Epub 2015 May 5.

PMID:
25956053
10.

Lempel-Ziv complexity of cortical activity during sleep and waking in rats.

Abásolo D, Simons S, Morgado da Silva R, Tononi G, Vyazovskiy VV.

J Neurophysiol. 2015 Apr 1;113(7):2742-52. doi: 10.1152/jn.00575.2014. Epub 2015 Feb 25.

11.

Analysis of intracranial pressure signals recorded during infusion studies using the spectral entropy.

García M, Poza J, Abásolo D, Santamarta D, Hornero R.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2543-6. doi: 10.1109/EMBC.2013.6610058.

PMID:
24110245
12.

Spectral analysis of intracranial pressure signals recorded during infusion studies in patients with hydrocephalus.

García M, Poza J, Santamarta D, Abásolo D, Barrio P, Hornero R.

Med Eng Phys. 2013 Oct;35(10):1490-8. doi: 10.1016/j.medengphy.2013.04.002. Epub 2013 May 9.

PMID:
23664413
13.

Brain oscillatory complexity across the life span.

Fernández A, Zuluaga P, Abásolo D, Gómez C, Serra A, Méndez MA, Hornero R.

Clin Neurophysiol. 2012 Nov;123(11):2154-62. doi: 10.1016/j.clinph.2012.04.025. Epub 2012 May 28.

PMID:
22647457
14.

Reply to the comment by Carmelo Anile on the paper "Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies".

Santamarta D, Abásolo D, Hornero R.

Childs Nerv Syst. 2012 Jan;28(1):17-8. doi: 10.1007/s00381-011-1629-0. Epub 2011 Nov 15. No abstract available.

PMID:
22083137
15.

Complexity analysis of resting-state MEG activity in early-stage Parkinson's disease patients.

Gómez C, Olde Dubbelink KT, Stam CJ, Abásolo D, Berendse HW, Hornero R.

Ann Biomed Eng. 2011 Dec;39(12):2935-44. doi: 10.1007/s10439-011-0416-0. Epub 2011 Oct 4.

PMID:
21969108
16.

Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms.

Escudero J, Sanei S, Jarchi D, Abásolo D, Hornero R.

Physiol Meas. 2011 Aug;32(8):1163-80. doi: 10.1088/0967-3334/32/8/011. Epub 2011 Jun 27.

PMID:
21709337
17.

The correlation between white-matter microstructure and the complexity of spontaneous brain activity: a difussion tensor imaging-MEG study.

Fernández A, Ríos-Lago M, Abásolo D, Hornero R, Alvarez-Linera J, Paul N, Maestú F, Ortiz T.

Neuroimage. 2011 Aug 15;57(4):1300-7. doi: 10.1016/j.neuroimage.2011.05.079. Epub 2011 Jun 12.

PMID:
21683794
18.

Quantitative evaluation of artifact removal in real magnetoencephalogram signals with blind source separation.

Escudero J, Hornero R, Abásolo D, Fernández A.

Ann Biomed Eng. 2011 Aug;39(8):2274-86. doi: 10.1007/s10439-011-0312-7. Epub 2011 Apr 21.

PMID:
21509634
19.

MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands.

Gomez C, Abasolo D, Poza J, Fernandez A, Hornero R.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2379-82. doi: 10.1109/IEMBS.2010.5627236.

PMID:
21096583
20.

Optimized assessment of atrial fibrillation organization through suitable parameters of sample Entropy.

Alcaraz R, Abasolo D, Hornero R, Rieta JJ.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:118-21. doi: 10.1109/IEMBS.2010.5627169.

PMID:
21096521

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