Improved Qsofa Algorithm Based on PPG Wearable Device

作     者：Yepeng Liu Xiaoxiao Yu Xin Luo Ziyu Liu Yu He 

作者机构：College of Information Engineering Wuhan University of Technology Wuhan China College of Engineering and Architecture University College Dublin University College Dublin Belfield Dublin 4 College of Software Engineering Huazhong University of Science and Technology Wuhan China 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2021年第1848卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：This paper designs an improved Qsofa algorithm based on photoplethysmography measurement technology. The algorithm is mainly used to achieve accurate measurement of the subject s heart rate and blood pressure and a more refined Qsofa health score. In terms of health data processing, this paper uses a combination of data threshold and mean stabilization algorithms to significantly improve measurement accuracy. In terms of health analysis, this paper greatly reduces the difficulty of the GCS coma evaluation method in the traditional Qsofa algorithm, and at the same time makes the final score of the evaluation more detailed in the same level, so as to more accurately show the health status of the subjects.