Deep Compressive Sensing on ECG Signals with Modified Inception Block and LSTM

In practical electrocardiogram (ECG) monitoring, there are some challenges in reducing the data burden and energy costs. Therefore, compressed sensing (CS) which can conduct under-sampling and reconstruction at the same time is adopted in the ECG monitoring application. Recently, deep learning used...

Descripción completa

Detalles Bibliográficos
Autores principales: Hua, Jing, Rao, Jue, Peng, Yingqiong, Liu, Jizhong, Tang, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394370/
https://www.ncbi.nlm.nih.gov/pubmed/35893004
http://dx.doi.org/10.3390/e24081024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394370/
https://www.ncbi.nlm.nih.gov/pubmed/35893004
http://dx.doi.org/10.3390/e24081024

Ejemplares similares