Adaptive Motion Artifact Reduction Based on Empirical Wavelet Transform and Wavelet Thresholding for the Non-Contact ECG Monitoring Systems

Electrocardiogram (ECG) signals are crucial for determining the health status of the human heart. A clean ECG signal is critical in analysis and diagnosis of heart diseases. However, ECG signals are often contaminated by motion artifact noise in the non-contact ECG monitoring systems. In this paper,...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Xiaowen, Liang, Ying, He, Pei, Yang, Junliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651081/
https://www.ncbi.nlm.nih.gov/pubmed/31266226
http://dx.doi.org/10.3390/s19132916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6651081/
https://www.ncbi.nlm.nih.gov/pubmed/31266226
http://dx.doi.org/10.3390/s19132916

Ejemplares similares