论文标题
紧急呼吸机传感器和警报的低复杂系统和算法
Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm
论文作者
论文摘要
为了响应Covid-19的大流行造成的呼吸器短缺，许多组织设计了低成本的紧急呼吸机。这些设备中有许多是压力循环的气动呼吸机，它们易于生产，但通常不包括商用呼吸机上的传感或警报功能。这项工作报告了针对压力循环的呼吸机的低成本，易于生产的电子传感器和警报系统，该系统估计了临床上有用的指标，例如压力和呼吸频率，当呼吸机故障发生故障时，声音发出警报。低复杂信号处理算法使用一对非线性递归信封跟踪器来监视与患者气道连接的电子压力传感器的信号。该算法受助听器中使用的算法的启发，几乎不需要内存，并且在每个样本上只能执行一些计算，以便几乎可以在任何微控制器上运行。
In response to the shortage of ventilators caused by the COVID-19 pandemic, many organizations have designed low-cost emergency ventilators. Many of these devices are pressure-cycled pneumatic ventilators, which are easy to produce but often do not include the sensing or alarm features found on commercial ventilators. This work reports a low-cost, easy-to-produce electronic sensor and alarm system for pressure-cycled ventilators that estimates clinically useful metrics such as pressure and respiratory rate and sounds an alarm when the ventilator malfunctions. A low-complexity signal processing algorithm uses a pair of nonlinear recursive envelope trackers to monitor the signal from an electronic pressure sensor connected to the patient airway. The algorithm, inspired by those used in hearing aids, requires little memory and performs only a few calculations on each sample so that it can run on nearly any microcontroller.
