脉搏血氧仪波形的小波分析有助于识别身体不适的儿童。
Wavelet analysis of pulse oximeter waveform permits identification of unwell children.
作者信息
Leonard P, Beattie T F, Addison P S, Watson J N
机构信息
Department of Accident and Emergency Medicine, The Royal Hospital for Sick Children, Edinburgh, Scotland.
出版信息
Emerg Med J. 2004 Jan;21(1):59-60. doi: 10.1136/emj.2003.004887.
BACKGROUND
Children who are unwell often display signs of circulatory compromise. It has been observed that pronounced changes occur in the appearance of the photoplethysmogram (pulse oximeter tracing) in these children. The aim of the study was to discover if wavelet transforms can identify more subtle changes in the photoplethysmogram of children who are unwell.
METHODS
Photoplethysmograms were obtained from children attending a paediatric accident and emergency department with clinical features suggestive of significant bacterial illness or circulatory compromise. Photoplethysmograms were also obtained from a control group of well children. Wavelet transforms were applied to the traces in an attempt to separate the two groups.
RESULTS
20 traces were obtained from unwell children and 12 from controls. Analysis of the entropy of the wavelet transform of the photoplethysmogram allows the differentiation of unwell children from controls (p = 0.00002).
CONCLUSIONS
Wavelet transform of the photoplethysmogram offers the possibility of a rapid non-invasive method of screening children for significant illness.
背景
身体不适的儿童常常表现出循环功能受损的迹象。据观察，这些儿童的光电容积脉搏波描记图（脉搏血氧饱和度仪描记曲线）外观会发生明显变化。本研究的目的是探究小波变换能否识别身体不适儿童光电容积脉搏波描记图中更细微的变化。
方法
从就诊于儿科急诊科、具有提示严重细菌感染性疾病或循环功能受损临床特征的儿童中获取光电容积脉搏波描记图。还从健康儿童对照组中获取光电容积脉搏波描记图。对这些描记曲线应用小波变换，试图区分这两组。
结果
从不健康儿童中获取了20条描记曲线，从对照组中获取了12条。对光电容积脉搏波描记图的小波变换熵进行分析，可区分不健康儿童与对照组儿童（p = 0.00002）。
结论
光电容积脉搏波描记图的小波变换为快速无创筛查儿童严重疾病提供了可能。
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