Predicting the Risk of Depression Based on ECG Using RNN

This paper presents a model to predict the risk of depression based on electrocardiogram (ECG). This proposed model uses a Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) autoencoder to predict normal, abnormal, and PVC heartbeats. The RNN model is a deep learning-based model to cla...

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Detalles Bibliográficos
Autores principales: Noor, Sumaiya Tarannum, Asad, Syeda Tasmiah, Khan, Mohammad Monirujjaman, Gaba, Gurjot Singh, Al-Amri, Jehad F., Masud, Mehedi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342171/
https://www.ncbi.nlm.nih.gov/pubmed/34367269
http://dx.doi.org/10.1155/2021/1299870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342171/
https://www.ncbi.nlm.nih.gov/pubmed/34367269
http://dx.doi.org/10.1155/2021/1299870

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