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三种归一化方法在通过光电容积脉搏波舒张间期监测镇痛深度中的比较

Comparison of Three Normalization Methods in Monitoring Analgesic Depth with Photoplethysmographic Diastolic Interval.

作者信息

Chen Wanlin, Feng Ying, Chen Xinzhong, Jiang Feng, Miao Jiajun, Chen Shali, Chen Hang

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5971-5975. doi: 10.1109/EMBC44109.2020.9175443.

Abstract

The purpose of the present study was to investigate the ability of three different normalization methods, namely root mean square (RMS) value, mean value, and maximum which referred to pulse beat interval (PBI), based on photoplethysmographic diastolic interval (DI) in response to laryngeal mask airway (LMA) insertion under various remifentanil concentrations during general anesthesia. Sixty patients were randomly allocated to one of the four groups to receive a possible remifentanil effect-compartment target concentration (Ce) of 0, 1, 3, or 5 ng/ml, and an effect-compartment target controlled infusion of propofol to maintain the state entropy (SE) at 40~60. Three normalized measures DI, DI, and DIPBI were compared with the DI values without normalization. Before LMA insertion, only DI showed a considerable correlation with remifentanil concentrations. DI and DI performed better than DI in discriminating 'insufficient' concentrations (0 and 1 ng/ml) from 'sufficient' concentrations (3 and 5 ng/ml). DIRMS was superior to all other variables in grading analgesic depth after nociceptive event occurred with PK value of 0.836. These results demonstrate that the normalization using RMS value, compared to using mean value and maximum, seems to provide a more effective approach for signal pre-processing.

摘要

本研究的目的是探讨三种不同的归一化方法,即均方根(RMS)值、平均值和最大值(均参考脉搏搏动间隔(PBI)),基于光电容积脉搏波舒张期间隔(DI),在全身麻醉期间不同瑞芬太尼浓度下对喉罩气道(LMA)插入的反应。60例患者被随机分配到四组中的一组,接受可能的瑞芬太尼效应室靶浓度(Ce)为0、1、3或5 ng/ml,并进行效应室靶控输注丙泊酚以维持状态熵(SE)在40至60。将三种归一化测量值DI、DI和DIPBI与未归一化的DI值进行比较。在插入LMA之前,只有DI与瑞芬太尼浓度显示出显著相关性。在区分“不足”浓度(0和1 ng/ml)与“充足”浓度(3和5 ng/ml)方面,DI和DI比DI表现更好。在伤害性事件发生后,DIRMS在镇痛深度分级方面优于所有其他变量,PK值为0.836。这些结果表明,与使用平均值和最大值相比,使用RMS值进行归一化似乎为信号预处理提供了一种更有效的方法。

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