Kajita Mizuki, Hara Shinsuke
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4410-4413. doi: 10.1109/EMBC44109.2020.9176715.
When estimating the heart rate (HR) of an exerciser by using a photoplethysmographic (PPG) sensor, the PPG output is contaminated with motion artifact (MA) induced by his motion, resulting in erroneous HR. To cancel the MA in the PPG output, we have proposed a technique based on adaptive filter algorithm using an MA sensor. On the one hand, we have so far fixed the tap length of the adaptive filter algorithm for the sake of its simple implementation, but on the other hand, we have noticed that the tap length dynamically changes according to the type of sensor wearer, the intensity of exercise and so on. Therefore, in this paper, we propose an MA canceling-PPG HR sensor system based on a serially configured adaptive filter algorithm with variable tap length. Experimental results involving 13 subjects reveal that the MA canceling technique based on the proposed serial configuration outperforms that with a conventional parallel configuration, achieving the minimum root mean square error of 9.97 beats per minute with much less computational complexity.
当使用光电容积脉搏波描记法（PPG）传感器估计锻炼者的心率（HR）时，PPG输出会受到其运动引起的运动伪影（MA）的干扰，从而导致心率错误。为了消除PPG输出中的MA，我们提出了一种基于使用MA传感器的自适应滤波算法的技术。一方面，为了实现简单，我们迄今为止固定了自适应滤波算法的抽头长度，但另一方面，我们注意到抽头长度会根据传感器佩戴者的类型、运动强度等动态变化。因此，在本文中，我们提出了一种基于具有可变抽头长度的串行配置自适应滤波算法的MA消除型PPG心率传感器系统。涉及13名受试者的实验结果表明，基于所提出的串行配置的MA消除技术优于传统并行配置的技术，实现了每分钟9.97次心跳的最小均方根误差，且计算复杂度低得多。
