一种可穿戴快速运动强度检测方法研究

Research of a Rapid Exercise Intensity Detection for Wearable Devices

针对现有运动强度检测方法设备复杂和实时性不高的问题,提出一种心电信号(electrocardiogram,ECG)与加速度信号相融合的可穿戴快速运动强度检测方法。该方法通过可穿戴设备采集ECG,通过电脑进行运动强度等级显示。采用改进中值滤波方法和小波包分解重构方法分别去除ECG中的高频噪声和基线漂移。结合加速度信号,提出一种ECG特征向量融合计算方法。通过支持向量机(Support Vector Machine,SVM)进行运动强度等级分类。实验结果表明,可穿戴快速运动强度检测方法可以有效地进行运动强度检测,并且同Actigraph wGT3X-BT运动强度检测方法和传统ECG运动强度检测方法相比,实时性更高。

This paper presents a rapid exercise intensity detection method based on wearable device for complex equipment of existing exercise intensity detection and low real-time.This method fusion the ECG signal and acceleration signal.The method collects ECG signal via wearable devices and shows exercise intensity level on the computer screen.With the improved median filtering method and wavelet packet decomposition reconstruction method,respectively,remove the high frequency noise and baseline drift in the ECG signal.Combination of acceleration signal,this paper puts forward a kind of ECG characteristic vector fusion calculation method.Exercise intensity by the SVM classification.Experimental results show that the wearable fast exercise intensity detection method can effective exercise intensity detection.Compared with Actigraph wGT3X-BT exercise intensity detection method and the traditional ECG exercise intensity detection method,wearable fast exercise intensity detection method has higher real-time performance.