基于压电薄膜传感器的心冲击信号检测与实时心率估计  

Ballistocardiogram Detection and Real-time Heart-rate Estimation Based on Electromechanical Film Sensor

作　　者：阮志毅 张云龙 陈建福 姚振杨 李家锐 RUAN Zhiyi;ZHANG Yunlong;CHEN Jianfu;YAO Zhenyang;LI Jiarui(Fujian Key Laboratory of Intelligent Health Massage Apparatus,Xiamen Comfort Science and Technology Group Co.,Ltd.,Xiamen 361015,China)

机构地区：[1]奥佳华智能健康科技集团股份有限公司福建省智能健康按摩器具重点实验室,福建厦门361015

出　　处：《传感器世界》2022年第9期22-26,共5页Sensor World

摘　　要：为了实现对心脏健康的无感监护,该文研究一种心冲击信号检测与实时心率估计方法。在压电薄膜传感器的无接触式数据采集与预处理的基础上,先由模板匹配检测得到心冲击信号(即J峰);再借助于JJ间隔和J峰幅值的特点,尽可能地去除错检的“J峰”与增补漏检的J峰;最后,采用修正后的JJ间隔对实时心率进行估计。以指夹式脉搏血氧仪为对照,对该方法进行测试,所有随机选取受测人员测得的实时心率结果的均方根误差为1.52。这表明,该方法基本上可以满足无感监护下对实时心率估计的需要。In order to realize the insensible monitoring of heart health,the paper studied a method of ballistocardiogram(BCG) detection and real-time heartrate estimation. Based on non-contact data acquisition and preprocessing from electromechanical film(EMFi) sensor, BCGs(i.e., J-peaks) were detected and obtained by template matching;By means of the features of J-J intervals and J-peak amplitudes, the false J-peaks were removed and the missed J-peaks were appended as many as possible;Finally, real-time heart-rate was estimated by the revised J-J intervals. The studied method was tested against a finger clip pulse oximeter and the root mean square error of real-time heart-rate results measured from all randomly selected subjects was 1.52. The shows that the studied method can basically meet the needs of realtime heart-rate estimation under insensible monitoring.

关 键 词：压电薄膜 心冲击信号 实时心率 无感监护 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]