一种用于家庭护理系统的廉价脉搏血氧计设计

Adam Skrvan, R. Hudec, S. Matuska
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引用次数: 1

摘要

在当前大流行时期,评估COVID - 19患者健康状况的重要参数之一是血氧水平。我们的工作目标是致力于基于MAX集成电路的脉搏血氧仪的开发和构建。最初的脉搏氧饱和度研究关注的是设备尺寸和功率效率等问题。降低功耗和尺寸是我们进步的主要原因。我们选择了低功耗的电子元件来降低功耗。我们使用了一个二极管场,其中有两个绿色,一个红色,一个红外线和两个光电二极管作为光源和探测器。高速四通道模数转换器将模拟信号转换为数字信号。该算法采用平均滤波器对信号进行平滑处理。我们找到了在平滑信号后可以用来确定心率的峰值。血氧计的水平是通过处理由光电探测器收集的红色和红外信号的振幅来计算的。测试算法在Arduino平台上进行。该装置的输出是血氧和心率的值。
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Design of a cheap pulse Oximeter for home care systems
In the current pandemic time, one of the important parameters for assessing the health status of a patient with COVID 19 is level of blood oxygenation. The aim of our work is devoted to the development and construction of a pulse Oximeter based on MAX ICs. The initial pulse oxymetry studies were concerned with issues such as device size and power efficiency. Reduced power consumption and size are the major causes of our progress. We picked low-power electronic components to reduce power consumption. We used a diode field with two green, one red, one infrared, and two photodiodes as a light source and detector. A high-speed four-channel AD converter converts the signal from analog to digital. The signal is smoothed using an average filter in the algorithm. We found peaks that can be utilized to determine heart rate after smoothing the signal. The blood Oximeter level is calculated by processing the amplitude of red and infrared signals collected by a photodetector. Test algorithms were performed on the Arduino platform. The output of the device are values of blood oxygenation and heart rate.
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