LMS自适应算法在基础体温测量中的应用

The Application of LMS Arithmetic in Measuring Basal Body Temperature

为了通过检测脑电波来精确测量人体基础体温,提出了一种LMS自适应算法.脑电波作为一种生理信号,是从头皮上放置的电极上测量到的,信号极为微弱,大约在20 V左右.同时脑电信号频谱宽,数据量小并且常夹杂心电信号和眼动信号,它们占据了同样的频带,采用常规滤波很难提取.提出采用LMS自适应算法使提取的信号最为接近脑电信号.

In order to measure basal body temperature by detecting brain wave,LMS adaptive arithmetic is introduced.As a kind of physiological signal,brain wave is quite weak, which is detected from scalp,about 20 V.At the same time,brain wave takes up wide band and mixed with heart signal and eyes signal which are at same frequency band.It is difficult to extract if normal filter is used.LMS adaptive arithmetic is introduced to extract signal which will be similar with brain signal.