TY - GEN
T1 - Estimation of respiratory rate based on image processing using camera with pixel value analysis method
AU - Ibrahim, Ilham Akbar
AU - Nasution, Aulia
N1 - Publisher Copyright:
© SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2021
Y1 - 2021
N2 - 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).
AB - 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).
KW - Image processing
KW - Non-contact
KW - Pixel value
KW - Respiratory rate
UR - http://www.scopus.com/inward/record.url?scp=85103336661&partnerID=8YFLogxK
U2 - 10.1117/12.2585552
DO - 10.1117/12.2585552
M3 - Conference contribution
AN - SCOPUS:85103336661
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Fourth International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020
A2 - Hatta, Agus Muhammad
A2 - Nasution, Aulia
A2 - Wahyuono, Ruri Agung
PB - SPIE
T2 - 4th International Seminar on Photonics, Optics, and Its Applications, ISPhOA 2020
Y2 - 1 December 2020 through 2 December 2020
ER -