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首页> 外文期刊>IEEE transactions on biomedical circuits and systems >Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm
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Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm

机译:应急呼吸器传感器和报警的低复杂性系统和算法

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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.
机译:为了响应Covid-19大流行引起的呼吸机短缺,许多组织都设计了低成本的紧急呼吸器。这些装置中的许多装置是压力循环的气动通风机,易于产生,但通常不包括商业呼吸机上发现的传感或报警功能。这项工作报告了低成本,易于生产的电子传感器和警报系统,用于压力循环呼吸机,估计临床有用的指标,如压力和呼吸速率,并在呼吸机故障时发出警报。低复杂性信号处理算法使用一对非线性递归包络跟踪器来监视来自连接到患者气道的电子压力传感器的信号。灵感来自助听器的算法,需要很少的内存,并且仅在每个样本上执行少量计算,以便它可以在几乎任何微控制器上运行。

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