Two-Stream Convolutional Neural Networks for Breathing Pattern Classification: Real-Time Monitoring of Respiratory Disease Patients

Two-Stream Convolutional Neural Networks for Breathing Pattern Classification: Real-Time Monitoring of Respiratory Disease Patients

A two-stream convolutional neural network (TCNN) for breathing pattern classification has been devised for the continuous monitoring of patients with infectious respiratory diseases. The TCNN consists of a convolutional neural network (CNN)-based autoencoder and classifier. The encoder of the autoen...

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Bibliographic Details
Main Authors: Jinho Park, Thien Nguyen, Soongho Park, Brian Hill, Babak Shadgan, Amir Gandjbakhche
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Bioengineering
Subjects:
COVID-19
deep learning
convolutional neural network
respiratory disease
NIRS
wearable device
Online Access:https://www.mdpi.com/2306-5354/11/7/709

Internet

https://www.mdpi.com/2306-5354/11/7/709

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