对于较强的生物医学信号,如心电、脑电、心音、血流量等,只要用心电图机、脑电图机、心音图机、血流量计等一类医用仪器即可测量出来。然而,对于一些极为微弱的并被噪声淹没了的生物医学信号用一般设备是测量不出来的,若借助于微弱信号检测技术则往往能收到较满意的效果。所谓微弱信号检测技术,就是利用电子学、物理学和信息论的方法,分析噪声的规律和特点,研究信号的特征和相似性,来处理和恢复被噪声淹没了的微弱信号的。这是一门新兴的边缘学科。这里所指的“特征”和“相似性”是区分信号与噪声,从而提取出深埋于噪声中信号的依据。目前已把微弱信号检测中的一些方法运用于生物医学信号的处理与检测,或者用其方法进行运算,或者用其原理制成检测 For the strong biomedical signals, such as ECG, EEG, heart sounds, blood flow, etc., as long as the use of ECG, EEG, heart sound machine, blood flow meter and other medical instruments can be measured out. However, biomedical signals that are extremely weak and submerged by noise can not be measured by conventional equipment, and satisfactory results can often be obtained with weak signal detection techniques. The so-called weak signal detection technology, is the use of electronics, physics and information theory methods, analysis of the laws and characteristics of noise, signal characteristics and similarities, to deal with and restore the noise submerged weak signals. This is a new edge discipline. The “features” and “similarities” referred to here are the basis for distinguishing between signals and noise, thereby extracting signals that are buried in noise. At present, some methods of weak signal detection have been applied to the processing and detection of biomedical signals, or the methods thereof are used for operation or the detection of the principle is used