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A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
OBJECTIVE: Gaussian Processes (𝒢𝒫)-based filters, which have been effectively used for various applications including electrocardiogram (ECG) filtering can be computationally demanding and the choice of their hyperparameters is typically ad hoc. METHODS: We develop a data-driven 𝒢𝒫 filter to address...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cornell University
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882573/ https://www.ncbi.nlm.nih.gov/pubmed/36713244 |