Yeginer Mete, Kahya Yasemin
Institute of Biomedical Engineering, Bogazici University, 34342 Istanbul, Turkey.
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:1062-5. doi: 10.1109/IEMBS.2007.4352478.
Pulmonary crackles are very important indicators in the diagnosis of pulmonary disorders. Parameters derived from their waveforms, such as initial deflection width and two-cycle duration width, are useful in classifying a crackle and correlating it with various disorders. To obtain a crackle waveform, the background vesicular sound is filtered out and the crackle parameters are very sensitive to filter cut-off frequency. In this study, sensitivity analysis of waveform parameters of simulated crackles superimposed on real vesicular sound is carried out, emphasizing the necessity of precision in determining the filter cut-off frequency.
肺部啰音是肺部疾病诊断中的非常重要的指标。从其波形得出的参数,如初始偏转宽度和双周期持续时间宽度,对于啰音分类以及将其与各种疾病关联起来很有用。为了获得啰音波形,需滤除背景肺泡音,并且啰音参数对滤波器截止频率非常敏感。在本研究中,对叠加在真实肺泡音上的模拟啰音的波形参数进行了敏感性分析,强调了精确确定滤波器截止频率的必要性。