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).
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