一种基于滤波算法的胎动监测方法研究

随着社会的发展,人们对健康的关注也越来越多,胎儿健康逐渐成为一个关注热点。家用胎动监测仪器,有效的解决监测不便。本方法对胎动监测进行了创新改进,使监测数据更可靠,针对采集来的胎动信号采用时频分析的方法设计带通滤波器,创新加入模式识别算法修正调整权值实现胎动的监测,最后通过计算机仿真验证算法的有效性。

Research on Fetal Movement Monitoring Method Based on Filtering Algorithm

With the development of society,people’s attention to health also increases,and the improvement of people’s concept of eugenics and eugenics,fetal health gradually become a hot spot of concern.Household fetal movement monitoring instruments can effectively solve the inconvenience of monitoring.This method innovatively improves fetal movement monitoring to make the monitoring data more reliable.A band-pass filter is designed for the collected fetal movement signals using time-frequency analysis method.A pattern recognition algorithm is innovatively added to modify the adjustment weights to achieve the monitoring of fetal movement.Computer simulation verifies the effectiveness of the algorithm.