Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria
Noise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term
ECG monitoring (LTM), making some of its parts impractical for diagnosis. The clinical …
ECG monitoring (LTM), making some of its parts impractical for diagnosis. The clinical …
Noise maps for quantitative and clinical severity towards long-term ECG monitoring
E Everss-Villalba, FM Melgarejo-Meseguer… - Sensors, 2017 - mdpi.com
Noise and artifacts are inherent contaminating components and are particularly present in
Holter electrocardiogram (ECG) monitoring. The presence of noise is even more significant …
Holter electrocardiogram (ECG) monitoring. The presence of noise is even more significant …
A deep and interpretable learning approach for long-term ECG clinical noise classification
R Holgado–Cuadrado, C Plaza–Seco… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: In Long-Term Monitoring (LTM), noise significantly impacts the quality of the
electrocardiogram (ECG), posing challenges for accurate diagnosis and time-consuming …
electrocardiogram (ECG), posing challenges for accurate diagnosis and time-consuming …
[引用][C] Desarrollo de Algoritmia para Dispositivos de Monitorización Cardíaca de Nueva Generación
FM Melgarejo Meseguer - 2019 - burjcdigital.urjc.es
Background In recent years, the progress experimented by the electrocardiographic and
electrophysiologic devices has provided doctors with several tools for diseases diagnosis …
electrophysiologic devices has provided doctors with several tools for diseases diagnosis …