Hamrin Tova Hannegård, Radell Peter J, Fläring Urban, Berner Jonas, Eksborg Staffan
Department of Physiology and Pharmacology, Section of Anesthesiology and Intensive Care, Karolinska Institutet, Astrid Lindgren Children's Hospital, Karolinska University Hospital Solna, Stockholm, Sweden.
Pediatric Perioperative Medicine and Intensive Care, Astrid Lindgren Children's Hospital, Karolinska University Hospital Solna, 171 76, Stockholm, Sweden.
J Clin Monit Comput. 2018 Oct;32(5):841-847. doi: 10.1007/s10877-017-0094-z. Epub 2017 Dec 28.
The aim of the present study was to evaluate the performance of regional oxygen saturation (rSO) monitoring with near infrared spectroscopy (NIRS) during pediatric inter-hospital transports and to optimize processing of the electronically stored data. Cerebral (rSO-C) and abdominal (rSO-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 rSO 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.
本研究的目的是评估近红外光谱技术(NIRS)在儿科医院间转运过程中监测局部氧饱和度(rSO)的性能,并优化电子存储数据的处理。在使用空中救护车和地面救护车转运过程中,使用了脑部(rSO-C)和腹部(rSO-A)NIRS传感器。数据在转运过程中由监护仪进行电子存储,转运结束后离线提取并分析。去除所有零值和下限效应值后,对NIRS信号应用Savitzky-Golay数据平滑算法。使用二阶平滑多项式,并评估平滑过程中相邻点的最佳数量。对38例儿科患者的NIRS数据进行了检查。定义为无0或15%值的测量的可靠性在转运过程中是可接受的(>90%的所有测量)。然而,有个别患者在转运过程中可靠测量值<90%,而在医院未发现有患者可靠测量值<90%。当使用20-50个相邻点(“窗口大小”)时,实现了信号的满意降噪,且未扭曲基础信息。在地面和空中救护车转运儿科患者的临床研究中,使用NIRS测量rSO是可行的,但受到不可靠值和信号干扰的阻碍。通过应用Savitzky-Golay算法,提高了信噪比,并能更好地进行事后信号评估。