Breathing Rate Classification Using Piezoresistive Sensor Utilizing Continuous Wavelet Transform and Lightweight CNN

Breathing Rate Classification Using Piezoresistive Sensor Utilizing Continuous Wavelet Transform and Lightweight CNN

The breath rate can now be monitored remotely due to the advancements in digital stethoscope sensor technology, signal processing, and machine learning. Automatic breathing rate classification, on the other hand, provides additional benefits in medical diagnostics. In this paper, a lightweight convo...

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Bibliographic Details
Main Authors: Khushi Gupta, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Breathing rate classification
breathing sensor
continuous wavelet transform
deep convolutional neural network
machine learning
piezoresistive sensor
Online Access:https://ieeexplore.ieee.org/document/10491256/

Internet

https://ieeexplore.ieee.org/document/10491256/

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