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首页> 外文会议>2016 5th International Conference on Informatics, Electronics and Vision >An efficient method for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise
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An efficient method for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise

机译：在进行大量体育锻炼时使用腕式光电容积描记信号监测心率的有效方法

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Wrist type photoplethysmographic (PPG) signals are vulnerable to motion artifacts (MA), which affects the heart rate (HR) estimation. In this work, we have proposed an efficient method to estimate and track HR using PPG signals and simultaneous acceleration signals. In our method, an MA signal is generated by choosing one of the three axis acceleration signals based on their highest bandpower. An RLS filter is used to remove MA from the PPG signal, where the reference signal is the generated MA signal. A simple tracking and verification step is incorporated to give the correct value of HR in consecutive time windows. Implementing our proposed method on 12 subjects data during high speed running, we found the average absolute error of heart rate estimation was only about 1.23 beat per minute (BPM) with standard deviation of 1.92 BPM and the Pearson correlation coefficient between the estimates and the ground-truth of heart rate (obtained from simultaneously ECG) was .9956.
机译：腕式光电容积描记（PPG）信号容易受到运动伪影（MA）的影响，这会影响心率（HR）的估计。在这项工作中，我们提出了一种使用PPG信号和同时加速度信号来估计和跟踪HR的有效方法。在我们的方法中，通过根据三轴加速度信号的最高带功率选择其中之一来生成MA信号。 RLS滤波器用于从PPG信号中删除MA，其中参考信号是生成的MA信号。包含一个简单的跟踪和验证步骤，可以在连续的时间窗口中提供正确的HR值。在高速跑步过程中对12个受试者数据实施我们提出的方法时，我们发现心率估算的平均绝对误差仅为1.23次/分钟（BPM），标准偏差为1.92 BPM，估算值与地面之间的皮尔逊相关系数-真实心率（同时从心电图获得）为.9956。

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