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Non-Contact Measurement of Infant Respiratory Rate Based on Video using Pose Estimation and Optical Flow Analysis
Abstract
Non-contact respiratory rate measurement in infants presents an innovative alternative to traditional contact-based methods, which often lead to discomfort. This study aims to develop an automated approach for measuring infant respiratory rate via a non-contact method using video recordings. The method automatically detects the Region of Interest (ROI) in the infant's torso and estimates the respiratory rate using optical flow. A pose estimation model is employed to detect the ROI automatically. The method was developed and tested on the AIR-125 video dataset, which includes various lighting conditions, infant poses, and frame rates. Results demonstrate that the proposed method effectively detects the torso and provides reliable respiratory rate estimations with a mean absolute error of 3.82 BPM and Root Mean Square Error 5,01 BPM. This system offers a flexible, non-contact solution for monitoring infant respiratory rate suitable for both home and clinical settings.
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DOI: https://doi.org/10.26760/elkomika.v13i1.29
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ISSN (print) : 2338-8323 | ISSN (electronic) : 2459-9638
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Department of Electrical Engineering Institut Teknologi Nasional Bandung, Indonesia
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Contact: +627272215 (ext. 206)
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