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Smart Improvement for Pneumo-tacographic System via Breath Recognition and Optoisolation

机译:通过呼吸识别和光学探索的肺胸痛系统的智能改进

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Pneumo-tacographic inspection represents a non-invasive method to measure capability of pulmonary functionality, that may be evaluated from flux/volume curve of pulmonary system. Pneumo-tacograph principle is based on Poiseuille law, that from relationship between pressure difference and volume-flow rate, measurement of difference in pressure yields an estimate of flow (liter/min.). Output voltage of differential pressure sensor (i.e. piezoelectric xtal or extensimeter) now may be amplified by a low noise & low distortion instrumentation and optical coupled amplifier for post-processing unit. Post-processing allows an smart inspiration recognition to select different patients: child, young, or old man breath. Sensitivity of differential pressure sensor and differential amplifier systems has been improved rejecting common-mode spurious signals coupled between sensor and amplifier, to get a lower load-effect and to give a good enough inspection uncertainty to patient clinic exame. Simulation results will be presented to show particulars in optimization process.
机译:肺胸痛检查代表了测量肺功能能力的非侵入性方法,其可以从肺系统的助焊剂/体积曲线评估。 Pneumo-tacograph原理是基于Poiseuille Lave,从压力差和体积流量之间的关系,压力差异的测量产生了流动的估计(升/分钟)。现在可以通过用于后处理单元的低噪声和低失真仪器和光耦合放大器来放大差压传感器的输出电压(即压电XTAL或伸长率计)。后处理允许智能灵感识别选择不同的患者:儿童,年轻或老人呼吸。差压传感器和差分放大器系统的敏感性已经改善了传感器和放大器之间耦合的共模杂散信号,以获得较低的负载效果,并给予患者诊所的不确定性良好的检查。仿真结果将提出展示优化过程中的细节。

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