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Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators
(PLOS, 2016)
Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survivalof out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrilla-tors (AED). AED algorithms for ...
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
(2019)
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ...
An Accurate Shock Advise Algorithm for Use During Piston-Driven Chest Compressions
(IEEE, 2018)
Mechanically delivered chest compressions induce artifacts in the ECG that can lead to an incorrect diagnosis of the shock advice algorithms implemented in the defibrillators. This forces the rescuer to stop cardiopulmonary ...
Removing piston-driven mechanical chest compression artefacts from the ECG
(CinC Computing In Cardiology, 2017)
Piston-driven mechanical chest compression (CC) devices induce a quasi-periodic artefact in the ECG, making rhythm diagnosis unreliable. Data from 230 out-of-hospital cardiac arrest (OHCA) patients were collected in which ...
Retinal thickness predicts the risk of cognitive decline in Parkinson's disease
(Wiley, 2021)
Objective: To analyze longitudinal changes of retinal thickness and their predictive value as biomarkers of disease progression in idiopathic Parkinson’s disease (iPD).
Methods: Patients with Lewy body diseases (LBDs) ...
Foveal Pit Morphology Characterization: A Quantitative Analysis of the Key Methodological Steps
(MDPI, 2021)
Disentangling the cellular anatomy that gives rise to human visual perception is one of the main challenges of ophthalmology. Of particular interest is the foveal pit, a concave depression located at the center of the ...
Clinical long-term nocturnal sleeping disturbances and excessive daytime sleepiness in Parkinson's disease
(PLOS, 2021)
Objective
To prospectively evaluate nocturnal sleep problems and excessive daytime sleepiness (EDS) in Parkinson’s disease (PD) patients, and analyze the influence of motor symptoms, treatment, and sex differences on sleep ...
Influencia de la frecuencia respiratoria inducida en los valores HRV
(Servicio Editorial de la Universidad del País VascoEuskal Herriko Unibertsitateko Argitalpen Zerbitzua, 2017)
The study of Place Cells, hippocampal neurons tuned to spatial locations in the environment, is central to elucidate how the brain encodes and retrieves spatial information. Advances in genetic and imaging technologies ...
Retinal thickness as a biomarker of cognitive impairment in manifest Huntington’s disease
(Springer Nature, 2023)
Background Cognitive decline has been reported in premanifest and manifest Huntington’s disease but reliable biomarkers are lacking. Inner retinal layer thickness seems to be a good biomarker of cognition in other ...
FlexRQC: Model for a Flexible Robot-Driven Quality Control Station
(Elsevier Ltd., 2020)
As the investment on a dedicated quality control stations is not desirable for limited production batches. In general, those systems result in very optimised systems and the lack of flexibility since they are designed for ...
