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作 者:杨风健 霍旭阳 于纬伦 杨晓航 YANG Feng-jian;HUO Xu-yang;YU Wei-lun;YANG Xiao-hang(School of Biomedical Engineering,Jilin Medical University,Jilin 132013,Jilin Province,China)
机构地区:[1]吉林医药学院生物医学工程学院,吉林吉林132013
出 处:《医疗卫生装备》2024年第8期16-20,共5页Chinese Medical Equipment Journal
基 金:吉林省高等教育教学改革研究课题(JLJY202337849316);吉林省教育厅科研项目(JJKH20240586KJ)。
摘 要:目的:为降低环境因素对心率提取的影响,提出一种基于手机指尖视频的心率提取算法。方法:首先,采集指尖视频并按照30帧/s的帧率进行图像提取,并将图像分离成R、G、B 3个通道图像。通过对比3个通道图像的亮度变化强弱情况,选取对指尖血流信号最为敏感的G通道作为信号源,提取图像亮度变化信息生成时长为10 s的容积脉搏波。其次,对该波形进行数字滤波、去除基线漂移、傅里叶变换等信号处理后,根据最大谱峰位置信息预估心率。最后,在BUT PPG数据集(Brno University of Technology Smartphone PPG Database)上验证提出的算法对心率的预测效果。结果:提出的算法心率预测值与实际心率的均方差、均方根差和平均绝对误差分别为3.71、1.92和1.2次/min。结论:提出的算法预测心率的准确率高,适合部署于手机进行日常心率监测。Objective To propose a cell phone fingertip video-based heart rate extraction algorithm to relieve the influences of environmental factors.Methods Firstly,the fingertip video was captured and extracted at a frame rate of 30 frames/s,and the images were separated into three channels:R,G,and B.The brightness changes of the three channels were compared,the G channel,which was the most sensitive to the fingertip blood flow signal,was selected as the signal source,and the brightness change information was extracted to generate a volumetric pulse waveform with a duration of 10 s.Secondly,the waveform underwent signal processing such as digital filtering,removal of baseline drift and Fourier transform,then the heart rate was predicted based on the position information of the maximum spectral peak.Finally,the heart rate prediction efficacy by the proposed algorithm was validated on Brno University of Technology Smartphone PPG Database(BUT PPG dataset).Results The predicted heart rate by the algorithm and the actual value had the mean square deviation,root mean square deviation and mean absolute error being 3.71,1.92 and 1.2 beats/min,respectively.Conclusion The algorithm proposed has high accuracy for heart rate prediction,and can be invovled in cell phones for daily heart rate monitoring.
关 键 词:指尖视频 心率提取 容积脉搏波 智能手机 心率监测
分 类 号:R318[医药卫生—生物医学工程]
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