Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm.
Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm.
复制标题
紧急呼吸机传感器和警报的低复杂系统和算法。
DOI：
10.1109/tbcas.2020.3020702
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发表时间：
2020-10
影响因子：
5.1
通讯作者：
Singer AC
中科院分区：
文献类型：
--
作者：
Corey RM;Widloski EM;Null D;Ricconi B;Johnson MA;White KC;Amos JR;Pagano A;Oelze ML;Switzky RD;Wheeler MB;Bethke EB;Shipley CF;Singer AC
为了应对 COVID-19 大流行造成的呼吸机短缺，许多组织设计了低成本紧急呼吸机。其中许多设备是压力循环气动呼吸机，易于生产，但通常不包括商用呼吸机上的传感或报警功能。这项工作报告了一种用于压力循环呼吸机的低成本、易于生产的电子传感器和报警系统，该系统可估计压力和呼吸频率等临床有用指标，并在呼吸机出现故障时发出警报。低复杂度信号处理算法使用一对非线性递归包络跟踪器来监测来自连接到患者气道的电子压力传感器的信号。该算法受到助听器中使用的算法的启发，需要很少的内存，并且仅对每个样本执行少量计算，因此它几乎可以在任何微控制器上运行。
In response to anticipated shortages 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.