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监测减压气泡信号可预报早期减压病。传统的多普勒超声检测仪是在心壁、血管壁及心脏瓣膜运动等形成的强大背景噪声下靠耳力辨听气泡音的，既欠客观也难定量。作者深入分析了气泡信号和背景噪声的本质区别，认为背景噪声的主要能量集中在６００Ｈｚ以下，属低频高幅心动噪声；气泡信号则高於此频段，且和血细胞滚动等形成的高频噪声相混叠，但后者幅度远低於气泡信号。基於此认识，提出了用变换识别法提取减压气泡信号的新方案，即利用精密的Ｆ／Ｖ变换器将原始的多普勒频移信号进行变换，使气泡信号呈尖峰波呈现出来，交换后用独特的截频滤波法将低频高幅噪声滤除。又在变换中调节变换输入幅值，利用变换阈限将高频噪声基本除去，这样气泡信号便较清晰地被提取出来。据此研制成的单机经动物和人体减压试验应用，效果较好，实现了实时定量监测目标。类似结果，国内外尚未见报道。
Monitoring decompression bubble signal can predict early decompression sickness. The traditional Doppler ultrasound detector in the heart wall, blood vessels and heart valve movement formed by the strong background noise, hearing ear flu gas sound, both less objective and difficult to quantify. The author deeply analyzes the essential difference between the bubble signal and the background noise, and considers that the main energy of the background noise is concentrated below 600 Hz, which belongs to the low frequency and high amplitude heartbeat noise; the bubble signal is higher than this frequency band; and the high frequency noise phase formed by the blood cell rolling, Aliasing, but the latter amplitude is much lower than the bubble signal. Based on this understanding, a new scheme of extracting the decompressed bubble signal by using the transformation recognition method is proposed. That is, a precise F / V converter is used to transform the original Doppler shift signal so that the bubble signal appears as a spike and is exchanged After using a unique cut-off filter to filter low-frequency high-amplitude noise. In the transformation, the amplitude of the input is adjusted and the high frequency noise is basically removed by using the transformation threshold so that the bubble signal is more clearly extracted. According to this, the single machine developed by the animal and human decompression test application, the effect is better, to achieve real-time quantitative monitoring objectives. Similar results have not been reported at home and abroad.