Classification of Respiratory States Using Spectrogram with Convolutional Neural Network

Classification of Respiratory States Using Spectrogram with Convolutional Neural Network

This paper proposes an approach to the classification of respiration states based on a neural network model by visualizing respiratory signals using a spectrogram. The analysis and processing of human biosignals are still considered some of the most crucial and fundamental research areas in both sig...

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Bibliographic Details
Main Authors: Cheolhyeong Park, Deokwoo Lee
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
respiration status
UWB radar
respiratory signal
classification
deep neural network
Online Access:https://www.mdpi.com/2076-3417/12/4/1895

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