基于压电陶瓷传感器的非接触式精准逐拍心率提取方法研究

心冲击图(BCG)可用于无接触式地监测生命体征。在BCG的逐拍心率提取中，较低的平均绝对误差对于精确地获取用户的心率变异性(HRV)指标具有重要意义。为解决目前大多数方法在逐拍心率计算精度方面的不足，该文设计了一种基于压电陶瓷的心冲击信号采集系统。通过采用合适的传感器外壳结构和采样频率，增加传感器的灵敏度和BCG的时间分辨率；通过对比不同的BCG处理方法并找到BCG中最适合提取精准逐拍心动周期的成分；同时该文提出一种采用AP聚类的自适应模板匹配算法，以准确提取心动周期信息。对15名受试者共5741次心跳数据进行分析，结果显示逐拍心动周期的平均误差为0.48%，平均绝对误差为3.78 ms，心跳覆盖率在97%以上，优于其他同类工作。

Unconstrained Accurate Beat-to-beat Heart Rate Extraction Based on Piezoelectric Ceramics Sensor

BallistoCardioGram (BCG) can be used for contactless detection of vital signs. In BCG’s beat-to-beat heart rate extraction, the lower mean absolute error is of great significance for accurately obtaining the user’s Heart Rate Variability (HRV) indicators. In order to solve the shortcomings in the accuracy of beat-to-beat heart rate calculation of most current methods, a BCG acquisition system based on piezoelectric ceramics sensor is designed in this paper. By adopting a suitable structure for the sensor‘s shell and a suitable sampling frequency, the sensitivity of the sensor and the time resolution of the BCG signal are increased. Through the analysis of BCG, the most suitable components in BCG is found to extract beat by beat cardiac cycle. At the same time, this paper proposes an adaptive template matching algorithm using AP clustering to extract accurately cardiac cycle information. Analysis of the data of 5741 heartbeats of 15 subjects shows that the average error of the beat-to-beat heartbeat cycle is 0.48%, the Mean Absolute Error (MAE) is 3.78 ms, and the heartbeat coverage is above 95%, which is better than other similar work.