Wen Xin, Huang Yanqi, Wu Xiaomei, Zhang Biyong
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:6355-6358. doi: 10.1109/EMBC.2019.8856464.
Ballistocardiography (BCG) is a type of non-contact measurement technique that measures the mechanical reaction of the body resulting from heart contraction and the subsequent cardiac ejection of blood. Herein, we present an algorithm for beat-to-beat heart rate estimation from BCG signals that is both highly universal and easy to implement. The algorithm is based on the correlation between heartbeats in the same section of BCG. It first generates patterns by autocorre-lation, which are then matched with the remaining signals to determine heartbeats. The agreement of the proposed algorithm with synchronized electrocardiogram has been evaluated, and a relative beat-to-beat interval error of 1.66% and a relative average heart rate error of 1.25% were observed. The proposed algorithm is a promising candidate for a non-contact, long-term cardiac monitoring system at home.
心冲击图描记术（BCG）是一种非接触式测量技术，用于测量心脏收缩及随后的心脏射血所引起的身体机械反应。在此，我们提出一种用于从BCG信号中逐搏估计心率的算法，该算法具有高度通用性且易于实现。该算法基于BCG同一部分心跳之间的相关性。它首先通过自相关生成模式，然后将这些模式与其余信号进行匹配以确定心跳。已评估了所提出算法与同步心电图的一致性，观察到逐搏间隔相对误差为1.66%，平均心率相对误差为1.25%。所提出的算法是用于家庭非接触式长期心脏监测系统的一个有前景的候选方案。
