Cargando…
A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis
Artifacts in the Electrocardiogram (ECG) degrade the quality of the recorded signal and are not conducive to heart rate variability (HRV) analysis. The two types of noise most often found in ECG recordings are technical and physiological artifacts. Current preprocessing methods primarily attend to e...
Autores principales: | Saleem, Shiza, Khandoker, Ahsan H., Alkhodari, Mohanad, Hadjileontiadis, Leontios J., Jelinek, Herbert F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626590/ https://www.ncbi.nlm.nih.gov/pubmed/36319659 http://dx.doi.org/10.1038/s41598-022-21776-2 |
Ejemplares similares
-
Investigating the effects of beta-blockers on circadian heart rhythm using heart rate variability in ischemic heart disease with preserved ejection fraction
por: Saleem, Shiza, et al.
Publicado: (2023) -
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
por: Alkhodari, Mohanad, et al.
Publicado: (2022) -
Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles
por: Alkhodari, Mohanad, et al.
Publicado: (2021) -
Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review
por: Lee, Peter, et al.
Publicado: (2022) -
Fetal Heart Sounds Detection Using Wavelet Transform and Fractal Dimension
por: Koutsiana, Elisavet, et al.
Publicado: (2017)