Rene Gonzalez-Fernandez*, Jose L Hernandez-Caceres and Jorge G Perez-Blanco
Department of Medical Electronic, Cuban Center for Neurosciences, Cuba
*Corresponding Author: Rene Gonzalez-Fernandez, Department of Medical Electronic, Cuban Center for Neurosciences, Cuba.
Received: February 01, 2022; Published: March 03, 2022
The aim of this paper is to discuss an approach to the monitoring of respiratory diseases based on the combined study of heart rhythm, respiratory rate and pulse oximetry (SpO2). Respiratory diseases can arise from pulmonary, cardiovascular and other causes, and can be fatal. Worldwide, 235 million people have asthma and 64 million suffer from Chronic Obstructive Pulmonary Disease (COPD). The respiratory system works in coordination with the cardiovascular system and respiratory insufficiencies are compensated by an increase in heart rate, which can lead to heart disorders. The combined study of both systems would allow to know accurately how a respiratory patient evolves. A prototype was developed based on the E305654 module, which on-demand delivers SpO2, photoplethysmography signal samples and pulse rate values, and the STM32L073CZTx processor. A vector was computed every thirty minutes; it is composed by respiratory rate, derived from metrics calculated from the plethysmography signal (PPG), the SpO2 mean value and the pulse rate. 10 healthy volunteers and 6 people with COPD, including one suffering COVID-19, and three asthmatics were studied. The dispersion inside each patient´s group was not significant, but a remarkable difference can be observed between the healthy volunteers and the other studied persons. A “normal region” can be defined with clearly defined frontiers. The proposed solution seems promising to assess respiratory function even when it is compensated by a cardiac response.
Keywords: Respiratory Disease Monitoring; Pulse Oximetry; PPG Signal; PPG Derived Respiratory Rate; Analysis of Chronic Obstructive Pulmonary Disease
Citation: Rene Gonzalez-Fernandez., et al. “Respiratory Diseases follow-up based on the Extraction of Plethysmography Signal Parameters". Acta Scientific Nutritional Health 6.4 (2022): 02-06.
Copyright: © 2022 Rene Gonzalez-Fernandez., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.