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Updated: Nov 9, 2025

09:42
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
854
[Development of Respiratory Signal Extraction System Based on Photoplethysmography]
Jingjing Zhou1,2, Jilun Ye1,2,3, Xu Zhang1,2,3
1School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060.
Abstract:
Oxygen saturation and respiratory signals are important physiological signals of human body, respiratory monitoring plays an important role in clinical and daily life. A system was established to extract respiratory signals from photoplethysmography in this study. Including the collection of pulse wave signal, the extraction of respiratory signal, and the calculation of respiratory rate and pulse rate transmitted from the slave computer to the host computer in real time.

