Our moral obligations to disadvantaged children

Features extracted from the ECG, such as those used in heart rate variability (HRV) analysis, together with the analysis of cardiorespiratory interactions reveal important

A multimodal automated seizure detection algorithm integrating behind-the-ear EEG and ECG was developed to detect focal seizures.. In this framework, we quantified the added value

cMRI was found to be the most important MRI modality for brain tumor segmentation: when omitting cMRI from the MP-MRI dataset, the decrease in mean Dice score was the largest for

Specifically, we evaluate the response to acoustic stimuli in three-class auditory oddball and auditory attention detection (AAD) in natural speech paradigms.. The former relies

The different major objectives were the following: to characterize and analyse the feedback path in a novel implantable hearing device, the Codacs direct acoustic cochlear

This paves the way for the development of a novel clustering algorithm for the analysis of evolving networks called kernel spectral clustering with memory effect (MKSC), where

To obtain an automated assessment of the acute severity of neonatal brain injury, features used for the parameterization of EEG segments should be correlated with the expert

Specifically, we evaluate the response to acoustic stimuli in three-class auditory oddball and auditory attention detection (AAD) in natural speech paradigms.. The former relies