Cargando…
Artefact detection and quality assessment of ambulatory ECG signals
BACKGROUND AND OBJECTIVES: The presence of noise sources could reduce the diagnostic capability of the ECG signal and result in inappropriate treatment decisions. To mitigate this problem, automated algorithms to detect artefacts and quantify the quality of the recorded signal are needed. In this st...
Autores principales: | Moeyersons, Jonathan, Smets, Elena, Morales, John, Villa, Amalia, De Raedt, Walter, Testelmans, Dries, Buyse, Bertien, Van Hoof, Chris, Willems, Rik, Van Huffel, Sabine, Varon, Carolina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Scientific Publishers
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891233/ https://www.ncbi.nlm.nih.gov/pubmed/31473442 http://dx.doi.org/10.1016/j.cmpb.2019.105050 |
Ejemplares similares
-
Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG
por: Moeyersons, Jonathan, et al.
Publicado: (2021) -
Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach
por: Moeyersons, Jonathan, et al.
Publicado: (2021) -
Linear and Non-linear Quantification of the Respiratory Sinus Arrhythmia Using Support Vector Machines
por: Morales, John, et al.
Publicado: (2021) -
Capacitively-Coupled ECG and Respiration for Sleep–Wake Prediction and Risk Detection in Sleep Apnea Patients
por: Huysmans, Dorien, et al.
Publicado: (2021) -
Benchmarking Transfer Entropy Methods for the Study of Linear and Nonlinear Cardio-Respiratory Interactions
por: Rozo, Andrea, et al.
Publicado: (2021)