Javier
Gomez Pilar
Hospital Universitario Pío del Río Hortega
Valladolid, EspañaPublicaciones en colaboración con investigadores/as de Hospital Universitario Pío del Río Hortega (13)
2023
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Quantification of the robustness of functional neural networks: application to the characterization of Alzheimer's disease continuum
Journal of neural engineering, Vol. 20, Núm. 3
2022
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Conventional Machine Learning Methods Applied to the Automatic Diagnosis of Sleep Apnea
Advances in experimental medicine and biology, Vol. 1384, pp. 131-146
2021
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Exploring the alterations in the distribution of neural network weights in dementia due to Alzheimer’s disease
Entropy, Vol. 23, Núm. 5
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Pediatric Sleep Apnea: The Overnight Electroencephalogram as a Phenotypic Biomarker
Frontiers in Neuroscience, Vol. 15
2020
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Automatic Assessment of Pediatric Sleep Apnea Severity Using Overnight Oximetry and Convolutional Neural Networks
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
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Network Analysis on Overnight EEG Spectrum to Assess Relationships Between Paediatric Sleep Apnoea and Cognition
IFMBE Proceedings
2017
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Phase-amplitude coupling analysis of spontaneous EEG activity in Alzheimer's disease
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016
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Analysis of spontaneous EEG activity in Alzheimer's disease using cross-sample entropy and graph theory
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2015
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Assessment of time and frequency domain entropies to detect sleep apnoea in heart rate variability recordings from men and women
Entropy, Vol. 17, Núm. 1, pp. 123-141
2014
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Adaboost classification to detect sleep apnea from airflow recordings
IFMBE Proceedings
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Applying variable ranking to oximetric recordings in sleep apnea diagnosis
IFMBE Proceedings
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Classification methods from heart rate variability to assist in SAHS diagnosis
IFMBE Proceedings
2013
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Assessment of spectral bands of interest in airflow signal to assist in sleep apnea-hypopnea syndrome diagnosis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS