Respiration Signal Extraction From Pulse Wave Collected by PVDF Sensor

IEEE ACCESS(2020)

引用 8|浏览1
暂无评分
摘要
The respiratory signal is a critical index of cardiopulmonary function. In this paper, we implement the polyvinylidene fluoride (PVDF) sensor to collect the data of pulse waves and reference respiration signals. The correlations between the major feature values and breaths are investigated and presented. As a result, several feature values exhibit relatively good correlations with reference respiratory amplitude. The improvements of Kalman Filter for the respiratory signals extracted from feature value variances are also introduced. Moreover, we display the comparisons with low-pass filtering, Wavelet filtering, and ensemble empirical mode decomposition (EEMD) method. Using the method of identifying error breaths, the error rate of the new method is about 4.146%. The new method is feasible for real-time applications at quiet state.
更多
查看译文
关键词
Hafnium,Correlation,Feature extraction,Kalman filters,Wrist,Solids,Licenses,Pulse wave,respiratory signal,Kalman filter,PVDF sensor
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要