光容积图
脉搏血氧仪
计算机科学
MATLAB语言
平滑的
工件(错误)
饱和(图论)
氧饱和度
波长
脉搏(音乐)
光学
材料科学
人工智能
计算机视觉
氧气
电信
物理
数学
医学
探测器
滤波器(信号处理)
操作系统
组合数学
量子力学
麻醉
作者
Yanru Zhao,Qipeng Shao,Dong-Jie Niu
标识
DOI:10.1142/s0217984921400194
摘要
Pulse oximetry saturation (SpO 2 ) is a main parameter that reflects the condition of the human cardiovascular system. It is best to detect SpO 2 non-destructively with photoplethysmography (PPG). The embedded technique was used to control the dual-wavelength LED illuminating the fingertips, photoelectric sensors to detect reflection data and, then, upload the data to computers, IIR filtering and S-G smoothing filtering on MatLab to process the collected data. The results is shown that the discreteness of the processed data was reduced by 2–6% and the high-frequency noise and motion artifact were removed effectively. It would provide some references for improving the accuracy of the pulse oxygen saturation monitoring system in a complex environment.
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