Ambulatory and Laboratory Stress Detection Based on Raw Electrocardiogram Signals Using a Convolutional Neural Network

The goals of this study are the suggestion of a better classification method for detecting stressed states based on raw electrocardiogram (ECG) data and a method for training a deep neural network (DNN) with a smaller data set. We suggest an end-to-end architecture to detect stress using raw ECGs. T...

Descripción completa

Detalles Bibliográficos
Autores principales: Cho, Hyun-Myung, Park, Heesu, Dong, Suh-Yeon, Youn, Inchan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833036/
https://www.ncbi.nlm.nih.gov/pubmed/31614646
http://dx.doi.org/10.3390/s19204408

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833036/
https://www.ncbi.nlm.nih.gov/pubmed/31614646
http://dx.doi.org/10.3390/s19204408

Ejemplares similares