摘要
血氧饱和度是反映血液中氧含量的重要参数,它的准确监测对于生理研究及医学应用都具有重要的意义。目前对血氧饱和度的无创监测通常是以识别脉搏波并提取其特征值为基础的双波长法,所以,准确识别脉搏波并在相应周期内提取脉搏波峰-峰值,是计算血氧饱和度的基础。由于得到的脉搏波信噪比较低,因此,正确识别脉搏波波形对于准确地测量血氧饱和度是至关重要的。本文利用最小均方(LMS)自适应算法处理脉搏波信号,取得了比较理想的降噪效果,从而大大提高了脉搏波的正确检出率。
Lives are maintained by enough oxygen. Blood oxygen saturation is one of the important parameters which reflects oxygen concentration in blood. The accurate monitoring of blood oxygen saturation is very important to both physiological research and medical application. At present, dual-wavelength method is widely adopted in noninvasive detection of blood oxygen saturation. Therefore, accurate recognition of peak-to-peak value of pulse waveform is a key process in monitoring blood oxygen saturation. In the paper, LMS self-adaptive arithmetic is applied to processing pulse waveform signal. The ratio of corrective detection is improved by the method.
出处
《医疗卫生装备》
CAS
2006年第7期12-13,共2页
Chinese Medical Equipment Journal
关键词
自适应
脉搏波信号
LMS算法
self-adaptive
pulse waveform signal
LMS arithmetic
