Listar por autor "Woo, Wai Lok"
Mostrando ítems 1-6 de 6
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A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus
(IOAP-MPDI, 2021-02-16)Type 1 diabetes mellitus (DM1) is a metabolic disease derived from falls in pancreatic insulin production resulting in chronic hyperglycemia. DM1 subjects usually have to undertake a number of assessments of blood glucose ... -
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés
; Gallego-Molina, Nicolás J.; Formoso, Marco A.; Woo, Wai Lok (International Journal of Neural Systems, 2023)
While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Formoso, Marco A.; Martínez-Murcia, Francisco Jesús; Woo, Wai Lok (2024)
Neuroimaging techniques have had a major impact on medical science, allowing advances in the research of many neurological diseases and improving their diagnosis. In this context, multimodal neuroimaging approaches, based ... -
Exploring the Validity of Plane and Spherical Millimeter-Wave Incidences for Multiple-Diffraction Calculations in Wireless Communication Systems.
(MDPI, 2023-04-27)The focus of this work is to determine at which threshold can the results for both plane and spherical wave incidence assumptions either converge or deviate when performing multiple diffraction attenuation calculations. ... -
IoMT innovations in diabetes management: Predictive models using wearable data
(Elsevier, 2023-10-09)Diabetes Mellitus (DM) represents a metabolic disorder characterized by consistently elevated blood glucose levels due to inadequate pancreatic insulin production. Type 1 DM (DM1) constitutes the insulin-dependent manifestation ... -
Unraveling brain synchronisation dynamics by explainable neural networks using EEG signals. Application to dyslexia diagnosis
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Arco, Juan E.; Martinez-Murcia, Francisco J.; Woo, Wai Lok (Springer, 2024-07)
The electrical activity of the neural processes involved in cognitive functions is captured in EEG signals, allowing the exploration of the integration and coordination of neuronal oscillations across multiple spatiotemporal ...