摘要
利用智能手机摄像头采集手指图像,进行脉搏波绘制及心率检测。将采集的图像进行色彩分离,对红色通道的数据进行处理,获得光电容积脉搏波(PPG)数据,手机上进行PPG实时绘制,在图像上以相邻上升坡度起始点的时间作为近似心电RR间期,以此计算心率。该方法获得心率与标准心电图结果比较,准确率达96%,无显著性差异。将该方法能实时检测心率。
This work used the smartphones%amera to capture images of fingers to draw pulse waveform and detect human heart rate. We separated the color of the captured finger images, and had the red channel data pro- cessed to obtain the PPG data. Then, we drew PPG on the smartphone in real time and obtain the approximate val- ue of RR intervals of ECG according to the length between the start points of two neighboring rising slope. The heart rate can be calculated accordingly. Taking the heart rate from the corresponding standard electrocardiogram as the reference,we see that the accuracy of this method can be reached as high as 96%. No significant difference is ob- served. So,the current method can be used to calculate the heart rate in real time.
出处
《生物医学工程学进展》
CAS
2014年第4期191-195,共5页
Progress in Biomedical Engineering