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胸部门诊患者光电容积脉搏波中呼吸频率的测量。

Measurement of respiratory rate from the photoplethysmogram in chest clinic patients.

作者信息

Clifton David, Douglas J Graham, Addison Paul S, Watson James N

机构信息

CardioDigital Ltd, Elvingston Science Centre, Glasdmuir, East Lothian, EH33 1EH, Scotland, UK.

出版信息

J Clin Monit Comput. 2007 Feb;21(1):55-61. doi: 10.1007/s10877-006-9059-3. Epub 2006 Nov 25.

Abstract

OBJECTIVE

We studied the application of our algorithm for the robust extraction of respiratory information from the pulse oximeter signal acquired from a selection of patients attending the chest clinic.

METHODS

Photoplethysmograms were obtained from 16 individuals: 13 patients with various conditions in the respiratory ward and three healthy subjects. Wavelet transforms were generated from which respiratory information was extracted to obtain a measure of respiratory rate. This measured rate was compared with the respiratory rate determined by one of a variety of other means (a digital end tidal CO(2) signal, the output from a non-invasive ventilation device, or a switch actuated by the patient or observer.)

RESULTS

Respiratory rates varied from 6.2 to 35.8 breaths per minute (bpm). The oximeter rate determined through our method matched the marker rate obtained for all patients to within 1 bpm.

CONCLUSION

The technique allows the measurement of respiratory rate directly from the photoplethysmogram of a pulse oximeter, and leads the way for development of a simple non-invasive combined respiration and saturation monitor useful for patients with all forms of breathlessness.

摘要

目的

我们研究了我们的算法在从胸部诊所选取的患者所采集的脉搏血氧饱和度仪信号中稳健提取呼吸信息方面的应用。

方法

从16个人身上获取光电容积脉搏波图:13名呼吸科病房患有各种病症的患者以及3名健康受试者。生成小波变换,从中提取呼吸信息以获得呼吸频率的测量值。将该测量的频率与通过多种其他方法之一确定的呼吸频率进行比较(数字呼气末二氧化碳信号、无创通气设备的输出或由患者或观察者启动的开关)。

结果

呼吸频率在每分钟6.2至35.8次呼吸(bpm)之间变化。通过我们的方法确定的血氧饱和度仪频率与所有患者获得的标记频率匹配,误差在1 bpm以内。

结论

该技术允许直接从脉搏血氧饱和度仪的光电容积脉搏波图测量呼吸频率,并为开发一种简单的无创联合呼吸和饱和度监测仪铺平了道路,该监测仪对所有形式呼吸困难的患者都有用。

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