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Camera-based Heart Rate Estimation for Hospitalized Newborns in the Presence of Motion Artifacts by Chen, Qiong (author);Wang, Yalin (author);Liu, Xiangyu (author);Long, Xi (author);Yin, Bin (author);Chen, Chen (author);Chen, Wei (author) is a Medicine article available to read on EtoBox.
What is Camera-based Heart Rate Estimation for Hospitalized Newborns in the Presence of Motion Artifacts about?
Abstract Background Heart rate (HR) is an important vital sign for evaluating the physiological condition of a newborn infant. Recently, for measuring HR, novel RGB camera-based non-contact techniques have demonstrated their specific superiority compared with other techniques, such as dopplers and thermal cameras. However, they still suffered poor robustness in infants’ HR measurements due to frequent body movement. Methods This paper introduces a framework to improve the robustness of infants’ HR measurements by solving motion artifact problems. Our solution is based on the following steps: morphology-based filtering, region-of-interest (ROI) dividing, Eulerian video magnification and majority voting. In particular, ROI dividing improves ROI information utilization. The majority voting scheme improves the statistical robustness by choosing the HR with the highest probability. Additionally, we determined the dividing parameter that leads to the most accurate HR measurements. In order to examine the performance of the proposed method, we collected 4 hours of videos and recorded the corresponding electrocardiogram (ECG) of 9 hospitalized neonates under two different conditions—rest s
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- Author
- Chen, Qiong (author);Wang, Yalin (author);Liu, Xiangyu (author);Long, Xi (author);Yin, Bin (author);Chen, Chen (author);Chen, Wei (author)
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)