基于PPG的可穿戴设备心率检测方法

Wearable Devices Heart Rate Detection Method Based on PPG

针对现有可穿戴设备的心率检测方法由于未对人体状态进行分类判别,而导致运动状态下存在估计精度不高、适用性不强的问题,首先,利用基于PPG可穿戴设备采集的数据对人体状态进行分类;其次,根据分类后人体信号特征,进行低通滤波,降低高频信号干扰,利用基于PPG的心率检测方法给出人体不同状态下的心率检测结果;最后,对所提出的心率检测方法进行实验验证。结果表明,该方法能够准确检测并实时处理心率信号,有效提高了人体不同状态下心率信号的测量精度。

For the state of the body is not classified by current method of wearable devices heart rate detection, which leads to low precision and applicability in the state of motion. Firstly, using data collected by wearable devices based on PPG to classify the states of body. Secondly, according to the post-classification human body signal characteristics, do low pass filtering and lower frequency signal interference, the results of the heart rate test were given based on the heart rate test based on PPG. Finally, the method of heart rate test is verified experimentally. The experiment results show that the method can accurately detect and process the heart rate signal in real time, which effectively improve the measurement accuracy of heart rate signal under different body states.