摘要
针对智能手机摄像头进行呼吸率估计的问题,提出一种基于融合脉搏波的呼吸率估计(fusion respiratory rate estimation,FRRE)方法.通过融合手机闪光灯可见光中的红光和绿光,得到融合脉搏波,并提取手背的光电容积脉搏波信号.采用绿光脉搏波进行瞬时心率的计算,使用相干解调去除融合脉搏波中心率成分,提取出呼吸信号.而后对呼吸信号进行快速傅里叶变换,并求功率谱密度,从而得到呼吸率.实验结果表明,本文提出的FRRE方法较传统VFCDM方法具有更高的准确性和实时性,可以进行有效的呼吸率估计.
To solve the problem of estimating respiratory rate in smartphone platform,a novel fusion respiratory rate estimation （F RRE ） method was proposed to calculate respiratory rate via smartphone camera. By combining the red light with the green light from the visible light of flashlight, a fusion pulse wave was computed and then the photo plethysmo graphy signal was extracted from human opisthenar. The instantaneous heart rate was calculated by green pulse wave. Using coherent demodulation to eliminate the heart rate signal from the fusion pulse wave, the respiration signal could be obtained. The respiratory signal was addressed by fast Fourier transform and power spectral density. Then, the respiratory rate was gained. Experimental results show that FRRE has a better accuracy and real-time than traditional VFCDM, FRRE provides an effective respiratory rate estimation method.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第7期932-935,共4页
Journal of Northeastern University(Natural Science)
基金
辽宁省科学技术计划项目(2015401039)
沈阳市科技专项(F15-199-1-03)
关键词
智能手机摄像头
可见光
光电容积脉搏波
呼吸率估计
相干解调
smartphone camera
visible l ig h t
photo plethysmo g rap h y
respiratory rate estimation
coherent demodulation
