Estimation of respiratory rate based on image processing using camera with pixel value analysis method

Ilham Akbar Ibrahim; Aulia Nasution

doi:10.1117/12.2585552

12 March 2021 Estimation of respiratory rate based on image processing using camera with pixel value analysis method

Ilham Akbar Ibrahim, Aulia Nasution

Proceedings Volume 11789, Fourth International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2020); 1178904 (2021) https://doi.org/10.1117/12.2585552
Event: Fourth International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2020), 2020, Sanur, Indonesia

Abstract

Monitoring vital physiological parameters on humans is crucial because the well-being of the human body is to be predicted from that information. This method is utilized by doctors to diagnose a patient, so that they can give the right treatment. One of the parameters which is important to monitor is the respiratory rate. Generally, respiratory rate is measured by contact-based measurement, such as acoustic-based measurement, through electrocardiography, airflow-based measurement, et cetera. As time goes on, the methods to measure or monitor respiratory rate has also flourished, especially in non-contact measurement In this paper, an algorithm was developed to calculate respiratory rates using a camera, processing the analysis of pixel value imaging from that of grayscale. Breathing pattern can be extracted through pixel value shifts from grayscale imaging and processed to be respiratory rates. Based on the results of the study, it was shown that this system can measure the respiratory rate in the range of 12-40 breaths per minute (brpm).

Citation Download Citation

Ilham Akbar Ibrahim and Aulia Nasution "Estimation of respiratory rate based on image processing using camera with pixel value analysis method", Proc. SPIE 11789, Fourth International Seminar on Photonics, Optics, and Its Applications (ISPhOA 2020), 1178904 (12 March 2021); https://doi.org/10.1117/12.2585552

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