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两种用于分析颅内压B波的计算机化方法:与传统视觉判读的比较

Two computerized methods used to analyze intracranial pressure B waves: comparison with traditional visual interpretation.

作者信息

Eklund A, Agren-Wilsson A, Andersson N, Bergenheim A T, Koskinen L O, Malm J

机构信息

Department of Biomedical Engineering and Informatics, University of Umeå, Sweden.

出版信息

J Neurosurg. 2001 Mar;94(3):392-6. doi: 10.3171/jns.2001.94.3.0392.

Abstract

OBJECT

Slow and rhythmic oscillations in intracranial pressure (ICP), also known as B waves, have been claimed to be one of the best preoperative predictive factors in idiopathic adult hydrocephalus syndrome (IAHS). Definitions of B waves vary widely, and previously reported results must be treated with caution. The aims of the present study were to develop a definition of B waves, to develop a method to estimate the B-wave content in an ICP recording by using computer algorithms, and to validate these procedures by comparison with the traditional visual interpretation.

METHODS

In eight patients with IAHS, ICP was continuously monitored for approximately 20 hours. The ICP B-wave activity as a percentage of total monitoring time (B%) was estimated by using visual estimation according to the definition given by Lundberg, and also by using two computer algorithms (Methods I and II). In Method I each individual wave was classified as a B wave or not, whereas Method II was used to estimate the B-wave content by evaluating the B-wave power in 10-minute blocks of ICP recordings.

CONCLUSIONS

The two computerized algorithms produced similar results. However, with the amplitude set to 1 mm Hg, Method I yielded the highest correlation with the visual analysis (r = 0.74). At least 5 hours of monitoring time was needed for an acceptable approximation of the B% in an overnight ICP recording. The advantages of using modern technology in the analysis of B-wave content of ICP are obvious and these methods should be used in future studies.

摘要

目的

颅内压(ICP)的缓慢且有节律的振荡,也称为B波,被认为是特发性成人脑积水综合征(IAHS)术前最佳预测因素之一。B波的定义差异很大,之前报道的结果必须谨慎对待。本研究的目的是制定B波的定义,开发一种使用计算机算法估计ICP记录中B波含量的方法,并通过与传统视觉解读相比较来验证这些程序。

方法

对8例IAHS患者的ICP进行约20小时的连续监测。根据伦德伯格给出的定义,通过视觉估计以及使用两种计算机算法(方法I和方法II)来估计ICP B波活动占总监测时间的百分比(B%)。在方法I中,将每个单独的波分类为是否为B波,而方法II则通过评估ICP记录10分钟时间段内的B波功率来估计B波含量。

结论

两种计算机算法产生了相似的结果。然而,当振幅设定为1毫米汞柱时,方法I与视觉分析的相关性最高(r = 0.74)。在夜间ICP记录中,需要至少5小时的监测时间才能对B%进行可接受的近似估计。在分析ICP的B波含量时使用现代技术的优势显而易见,这些方法应在未来的研究中使用。

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