Assessment of cardio-respiratory rates by non-invasive measurement methods in hospitalized preterm neonates
Assessment of cardio-respiratory rates by non-invasive measurement methods in hospitalized preterm neonates
复制标题
采用无创测量方法评估住院早产儿的心肺率
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
L. Scalise
中科院分区：
文献类型：
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作者：
L. Antognoli;P. Marchionni;S. Nobile;V. Carnielli;L. Scalise
为了提高新生儿的舒适度和为家庭呼吸监测开辟新的可能性，对早产儿的生理体征进行非接触式监测是必要的。所提出的解决方案是通过使用商业上可用的数字网络摄像机（WeC）和欧拉视频放大（EVM）算法，该算法放大了记录的图像序列上的微小变化，这将是肉眼不可见的。利用该方法，呼吸率（RR）被提取为患者胸部中的主频率，并且心率（HR）通过观察皮肤的微小颜色变化来提取。所得结果与标准多参数监测仪（MM）的信号进行了比较。7例患者的数据表明，所提出的测量方法的可行性。RR和HR的测量结果与MM的数据密切相关，HR的均方根误差为12.2，RR的均方根误差为7.6。这项技术可以是一个有价值的非接触式监测系统，为改善临床护理在新生儿重症监护室，并可能代表一个潜在的应用在家庭健康监测。
Noncontact monitoring of physiological signsin preterm infants is necessary in order to increase neonatal comfort and open new possibilities to home respiration monitoring. The presented solution is obtained by using commercially available digital webcamera (WeC) and Eulerian video magnification (EVM) algorithm which amplify the small changes on the sequence of the recorded images, that would be invisible to the naked eye. With this method, the respiration rate (RR) is extracted as the dominant frequency in the thorax portion of the patient, and the heart rate (HR) by observing minor color changes of the skin. The results obtained are compared with the signal from standard multi-parameter monitor (MM). Data collected on 7 patients demonstrate the feasibility of the proposedmeasurement method. The measure of RR and HR show close correlation with the data from the MM, with a root mean square error of 12.2 for the HR and 7.6 for the RR. This technique can be a valuable non-contact monitoring system for the improvement of clinical care in NICU and may representa potential application in home health monitoring.