Training Convolutional Neural Networks on Simulated Photoplethysmography Data: Application to Bradycardia and Tachycardia Detection

Objective: To develop a method for detection of bradycardia and ventricular tachycardia using the photoplethysmogram (PPG). Approach: The detector is based on a dual-branch convolutional neural network (CNN), whose input is the scalograms of the continuous wavelet transform computed in 5-s segments....

Descripción completa

Detalles Bibliográficos
Autores principales: Sološenko , Andrius, Paliakaitė , Birutė, Marozas , Vaidotas, Sörnmo , Leif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339964/
https://www.ncbi.nlm.nih.gov/pubmed/35923223
http://dx.doi.org/10.3389/fphys.2022.928098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339964/
https://www.ncbi.nlm.nih.gov/pubmed/35923223
http://dx.doi.org/10.3389/fphys.2022.928098

Ejemplares similares