Photoplethysmography-Based Respiratory Rate Estimation Algorithm for Health Monitoring Applications.

ABSTRACT:

Purpose

Respiratory rate can provide auxiliary information on the physiological changes within the human body, such as physical and emotional stress. In a clinical setup, the abnormal respiratory rate can be indicative of the deterioration of the patient's condition. Most of the existing algorithms for the estimation of respiratory rate using photoplethysmography (PPG) are sensitive to external noise and may require the selection of certain algorithm-specific parameters, through the trial-and-error method.

Methods

This paper proposes a new algorithm to estimate the respiratory rate using a photoplethysmography sensor signal for health monitoring. The algorithm is resistant to signal loss and can handle low-quality signals from the sensor. It combines selective windowing, pre

SUBMITTER: Iqbal T 

PROVIDER: S-EPMC9056464 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature