论文部分内容阅读
提取生物医学信号中的特征信息 ,为医学诊断提供决策支持 ,是生物医学工程发展的一个重要方向。利用谱估计的方法 ,对 15例海洛因成瘾者和 15例正常人的脉搏信号的功率谱进行了分析 ,计算了每一功率谱特定频段上的功率分布 ,发现海洛因成瘾者和正常人的脉搏信号的功率分布有显著差异 ,并给出了初步的判据 ,由此判据 ,15例海洛因成瘾者中的 13例予以辨别。研究结果表明 ,海洛因成瘾者脉搏信号的频域分析是一种有效的方法。
It is an important direction for the development of biomedical engineering to extract the characteristic information of biomedical signals and provide decision support for medical diagnosis. Using spectral estimation, the power spectrum of pulse signals in 15 heroin addicts and 15 normal persons was analyzed. The power distribution of the pulse in each power spectrum was calculated. It was found that the heroin addicts and normal people The power distribution of the pulse signal is significantly different and gives preliminary criteria based on which 13 of 15 heroin addicts are identified. The results show that the frequency-domain analysis of pulse signals of heroin addicts is an effective method.