摘要
脉搏波信号是重要的人体生理信号,但在采集过程中会存在一定的干扰,在分析软、硬阈值去噪方法的基础上,提出一种改进的阈值量化方法,能够克服软、硬阈值存在的缺陷,实验表明,改进的阈值方法可以有效地去除不同噪声干扰,明显优于软、硬阈值去噪方法。针对传统特征提取方法的缺陷,提出一种幅度阈值与滑动窗口相结合的主波波峰定位方法,经实验验证,所提出的方法准确率高、抗干扰强。
The pulse wave signal is an important human physiological signal, but there are some interference signals in the collection process. Based on soft and hard threshold de-noising method, an improved threshold function method is proposed. Improved threshold function can overcome the defects of soft and hard threshold method. The experimental results show that the improved threshold method can effectively remove noise, and gives better performance than the soft and hard threshold method.For the defects of the general feature extraction method, another method based on amplitude threshold and sliding window is proposed to detect the position of pulse wave crest. The experimental results show that the method is effective and accurate.
作者
鲁宏胜
叶玮琼
胡越
Lu Hongsheng;Ye Weiqiong;Hu Yue(College of Computer Science,Hunan University of Technology,Zhuzhou Hunan 412008,China)
出处
《信息通信》
2019年第7期3-5,共3页
Information & Communications
关键词
脉搏波信号
改进阈值
特征提取
滑动窗口
pulse wave signal
improved threshold
feature extraction
sliding window
