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Performance of regional oxygen saturation monitoring by near-infrared spectroscopy (NIRS) in pediatric inter-hospital transports with special reference to air ambulance transports: a methodological study

机译:小儿医院间运输中特别是空中救护车运输中近红外光谱(NIRS)监测区域氧饱和度的性能:方法学研究

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摘要

The aim of the present study was to evaluate the performance of regional oxygen saturation (rSO2) monitoring with near infrared spectroscopy (NIRS) during pediatric inter-hospital transports and to optimize processing of the electronically stored data. Cerebral (rSO2-C) and abdominal (rSO2-A) NIRS sensors were used during transport in air ambulance and connecting ground ambulance. Data were electronically stored by the monitor during transport, extracted and analyzed off-line after the transport. After removal of all zero and floor effect values, the Savitzky–Golay algorithm of data smoothing was applied on the NIRS-signal. The second order of smoothing polynomial was used and the optimal number of neighboring points for the smoothing procedure was evaluated. NIRS-data from 38 pediatric patients was examined. Reliability, defined as measurements without values of 0 or 15%, was acceptable during transport (> 90% of all measurements). There were, however, individual patients with < 90% reliable measurements during transport, while no patient was found to have < 90% reliable measurements in hospital. Satisfactory noise reduction of the signal, without distortion of the underlying information, was achieved when 20–50 neighbors (“window-size”) were used. The use of NIRS for measuring rSO2 in clinical studies during pediatric transport in ground and air-ambulance is feasible but hampered by unreliable values and signal interference. By applying the Savitzky–Golay algorithm, the signal-to-noise ratio was improved and enabled better post-hoc signal evaluation.
机译:本研究的目的是评估儿科医院间运输过程中使用近红外光谱(NIRS)监测区域氧饱和度(rSO2)的性能,并优化电子存储数据的处理。在空中救护车和地面救护车之间的运输过程中,使用了大脑(rSO2-C)和腹部(rSO2-A)NIRS传感器。数据在运输过程中由监控器以电子方式存储,在运输后离线进行提取和分析。去除所有零值和下限效果值后,将数据平滑的Savitzky-Golay算法应用于NIRS信号。使用二阶平滑多项式,并评估了平滑过程的最佳相邻点数。检查了来自38名儿科患者的NIRS数据。可靠性(定义为没有0或15%的测量值)在运输过程中是可以接受的(> 90%的所有测量值)。但是,有个别患者在运输过程中的可靠测量结果<90%,而在医院中没有发现患者的可靠测量的结果<90%。当使用20–50个邻居(“窗口大小”)时,可以达到令人满意的信号降噪效果,而不会破坏基本信息。在地面和空中救护车的儿科运输过程中,在临床研究中使用NIRS来测量rSO2是可行的,但由于数值和信号干扰不可靠而受到阻碍。通过应用Savitzky-Golay算法,信噪比得到了改善,并实现了更好的事后信号评估。

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