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Photoplethysmographic derivation of respiratory rate: A review of relevant physiology

机译:光体积描记法推导呼吸频率:相关生理学综述

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摘要

An abnormal respiratory rate is often the earliest sign of critical illness. A reliable estimate of respiratory rate is vital in the application of remote telemonitoring systems, which may facilitate early supported discharge from hospital or prompt recognition of physiological deterioration in high-risk patient groups. Traditional approaches use analysis of respiratory sinus arrhythmia from the electrocardiogram (ECG), but this phenomenon is predominantly limited to the young and healthy. Analysis of the photoplethysmogram (PPG) waveform offers an alternative means of non-invasive respiratory rate monitoring, but further development is required to enable reliable estimates. This review conceptualizes the challenge by discussing the effect of respiration on the PPG waveform and the key physiological mechanisms that underpin the derivation of respiratory rate from the PPG.
机译:呼吸频率异常通常是重病的最早迹象。可靠的呼吸频率估计对于远程远程监控系统的应用至关重要,远程监控系统可以促进早期支持出院或迅速识别高危患者群体的生理状况。传统方法使用心电图(ECG)分析呼吸道窦性心律不齐,但这种现象主要限于年轻人和健康人群。对光电容积脉搏波(PPG)波形的分析提供了一种非侵入式呼吸频率监测的替代方法,但是需要进一步发展以实现可靠的估计。这篇综述通过讨论呼吸对PPG波形的影响以及支持从PPG推导呼吸频率的关键生理机制来概念化挑战。

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