Robust R-Wave Detection Under Long-Term Measurement Using HRV Sensor System with Automatic Gain Readjustment

K. Shoji, T. Yamakawa, T. Sakata, Y. Ueda
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Abstract

A low-cost telemeter has been developed for heart rate variability analysis by using the R-R intervals of an electrocardiogram to detect heart disease. The decreasing detection rate of the R-wave in long-term measurements was attributed to inadequate gain from the electrocardiogram. An automatic gain readjustment function was therefore developed to address this problem. In this study, we evaluated the discrimination rules by using a gain readjustment function and calculated the improvement factor for R-wave detection. The function was installed on an Android smartphone and measured by using 25 healthy subjects. The measurement results showed that the detection rate of the R-wave was improved by 16.3 before and after gain readjustment. Furthermore, the measurement results revealed the need for multiple gain readjustments to ensure the required performance. The gain value was acquired for seven subjects to examine the variation in the electrocardiogram amplitude after 5 and 7 $\mathbf{h}$ of measurement. Consequently, the electrocardiogram amplitude did not have adverse effects on the R-wave detection for the duration of these measurements.
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基于自动增益调节的HRV传感器系统的长期测量鲁棒r波检测
一种低成本的遥测仪已经被开发出来,用于心率变异性分析,通过使用心电图的R-R间隔来检测心脏病。长期测量中r波的检出率下降是由于心电图的增益不足。因此,开发了一种自动增益调整功能来解决这个问题。在本研究中,我们使用增益再调整函数来评估识别规则,并计算r波检测的改进因子。该功能安装在安卓智能手机上,并由25名健康受试者进行测量。测量结果表明,增益调整前后,r波的检出率提高了16.3倍。此外,测量结果显示需要多次调整增益以确保所需的性能。获得7名受试者的增益值,以检查测量5和7 $\mathbf{h}$后心电图振幅的变化。因此,在这些测量的持续时间内,心电图振幅对r波检测没有不利影响。
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