Abstract: When extracting motion heart rate on the base of PPG, measurement result of conventional heart-rate extraction algorithm faces large error and bad real-time performance problems due to motion noise interference, a real-time heart rate extraction method of anti-motion interference is then presented. By using real-time wavelet de-noising, classifying and then training motion by combining ACC, heart rate gain of each motion status is calculated and real-time heart rate is compensated in the method. It is indicated by experimental result that, when compared with real-time heart rate calculated by using EGG signals collected at the same time, the absolute error rate is just around 1.2%. When compared with conventional heart rate extraction algorithm, the method is characterized with strong anti-interference and accurate real-time performance.

Key words: triaxial-acc, Photoplethysmography（PPG）, real-time wavelet, smart wear, motion interferene

摘要： 针对基于容积脉搏波（PPG）提取运动心率时，传统心率提取算法由于运动噪声干扰使测量结果误差大、实时性不好的问题，提出一种抗运动干扰的实时心率提取方法。该方法通过实时小波去噪，同时结合三轴加速度信号（ACC）对运动进行分类训练，计算各运动状态心率增益，对实时心率值进行补偿。实验结果表明，通过与同时采集的ECG信号计算出的实时心率进行对比，绝对误差率仅为1.2%左右。相比传统心率提取算法，该算法具有抗干扰性强，实时准确的特点。

关键词: 三轴ACC, 容积脉搏波（PPG）, 实时小波, 智能穿戴, 运动干扰