用三参量模糊分析法识别潜水减压气泡信号的研究

Study on the three-parameters fuzzy identification of diving decompression bubble signals in blood

目的 探讨潜水减压多普勒超声气泡信号的模糊识别方法。方法 根据气泡信号的频谱分布特征 ,构建 f- p- Δ p三参量模糊算法 ,并通过减压病动物模型进行验证 ,同时对 6 6例氦氧 15 0 m饱和 - 180 m巡回潜水减压的数据进行检测。结果 在减压病动物模型中分别检测到 ～ 级气泡 (按Spencer分级标准 ) ,气泡数量 6～ 113个 / 3s内不等 ;在饱和潜水减压资料中 ,检测到 1人两次有 级气泡音 ,气泡数量分别为 3个 (11s录音 )与 6个 (17s录音 ) ,与人工监听结果基本一致。结论 用三参量模糊分析方法充分借鉴了多年来人工分析所积累的经验 ,同时利用了计算机辅助分析技术 ,气泡信号的检测分析较为准确客观。

Objective To study the fuzzy identification method of diving decompression bubble signals in blood.Methods Doppler ultrasonic bubble detection is one of the most important way to estimate the safety in diving decompression.Using traditional detection method demands the skilled doctor to differentiate bubble signals from background noise by ear.According to the characteristic of doppler bubble signals,we designed the f-p-Δp (frequence,power,and Δ power)fuzzy analysis expressions to compute and identify bubble signals.It was verified in rabbit diving decompression sickness model,and was applied to the 150 He-O\-2 saturation -180 m excursion diving decompression procedure.Results (1) Spencer grade Ⅰ～Ⅲ bubble signals were detected in rabbit diving decompression sickness model.The number of decompression bubbles in blood are 6 to 113 per 3 seconds;(2) In saturation and excursion diving decompression procedure,one diver had grade Ⅰ bubble signals on 10 m and 0 m decompression stops.The number of decompression bubbles in blood was 3 per 11 seconds and 6 per 17 seconds;There were no bubble being detected in the other divers's blood.Conclusions Our results accorded with skilled diving doctors' analysis.The three parameters fuzzy analysis method,which drawn on the experience of skilled doctors can make the bubble identification more accurate and abstract Objective.