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1.
Brain health in diverse settings: How age, demographics and cognition shape brain function.
Neuroimage
; : 120636, 2024 May 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-38777219
2.
Daily Pain Severity but Not Vertebral Fractures Is Associated With Lower Physical Activity in Postmenopausal Women With Back Pain.
J Aging Phys Act
; 32(3): 428-437, 2024 Jun 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38527456
3.
Machine Learning Models for Weight-Bearing Activity Type Recognition Based on Accelerometry in Postmenopausal Women.
Sensors (Basel)
; 22(23)2022 Nov 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-36501877
4.
Entropy Measures of Electroencephalograms towards the Diagnosis of Psychogenic Non-Epileptic Seizures.
Entropy (Basel)
; 24(10)2022 Sep 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-37420367
5.
Sex Differences in the Complexity of Healthy Older Adults' Magnetoencephalograms.
Entropy (Basel)
; 21(8)2019 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-33267511
6.
Fuzzy Entropy Analysis of the Electroencephalogram in Patients with Alzheimer's Disease: Is the Method Superior to Sample Entropy?
Entropy (Basel)
; 20(1)2018 Jan 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33265112
7.
Complexity Changes in Brain Activity in Healthy Ageing: A Permutation Lempel-Ziv Complexity Study of Magnetoencephalograms.
Entropy (Basel)
; 20(7)2018 Jul 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33265596
8.
Lempel-Ziv complexity of cortical activity during sleep and waking in rats.
J Neurophysiol
; 113(7): 2742-52, 2015 Apr 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-25717159
9.
Assessment and Comparison of Nonlinear Measures in Resting-State Magnetoencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.
J Alzheimers Dis
; 96(3): 1151-1162, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37980661
10.
Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 301-304, 2022 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-36086448
11.
A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 3175-3178, 2022 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-36085668
12.
Brain signal complexity in adults with Down syndrome: Potential application in the detection of mild cognitive impairment.
Front Aging Neurosci
; 14: 988540, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36337705
13.
The correlation between white-matter microstructure and the complexity of spontaneous brain activity: a difussion tensor imaging-MEG study.
Neuroimage
; 57(4): 1300-7, 2011 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-21683794
14.
Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer's disease, mild cognitive impairment and healthy ageing.
J Neural Eng
; 18(4)2021 06 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34044374
15.
Prediction of Paroxysmal Atrial Fibrillation From Complexity Analysis of the Sinus Rhythm ECG: A Retrospective Case/Control Pilot Study.
Front Physiol
; 12: 570705, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33679427
16.
Time course of cortical response complexity during extended wakefulness and its differential association with vigilance in young and older individuals.
Biochem Pharmacol
; 191: 114518, 2021 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-33737051
17.
Complexity analysis of the cerebrospinal fluid pulse waveform during infusion studies.
Childs Nerv Syst
; 26(12): 1683-9, 2010 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-20680300
18.
Complexity changes in preclinical Alzheimer's disease: An MEG study of subjective cognitive decline and mild cognitive impairment.
Clin Neurophysiol
; 131(2): 437-445, 2020 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-31884374
19.
Interpretation of the auto-mutual information rate of decrease in the context of biomedical signal analysis. Application to electroencephalogram recordings.
Physiol Meas
; 30(2): 187-99, 2009 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-19147896
20.
Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients.
Med Eng Phys
; 31(3): 306-13, 2009 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-18676171