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Title:: Research on non-invasive detection technology of hemoglobin concentration

作者:: 彭福来1; 陈财1; 张宁玲1; 王星维1; 吕丹阳1; 王卫东2△; （1.山东中科先进技术有限公司，济南 250000；2.中国人民解放军总医院医疗器械研发与临床评价中心，北京 100853）

Author(s):: PENG Fulai1; CHEN Cai1; ZHANG Ningling1; WANG Xingwei1; L? Danyang1; WANG Weidong2; （1.Shandong Zhongke Advanced Technology Co.,LTD., Jinan 250000, China;2.Medical Device R&D and Clinical Evaluation Center,The General Hospital of the People’s Liberation Army, Beijing 100853, China）

Keywords:: Hemoglobin concentration; Non-invasive detection; Photoplethysmography signal processing; Stacking regression

摘要:: 针对传统的血红蛋白浓度检测需要抽血采样，检测流程复杂且无法连续监测血红蛋白浓度的变化趋势等问题，本研究设计了一种基于多波长近红外光谱的无创血红蛋白浓度检测方法。首先，基于Beer-Lambert定律建立了血红蛋白无创检测数学模型，并依据该模型设计了八波长近红外光电容积脉搏波（photoplethysmography, PPG）信号采集系统；然后，对采集的PPG信号进行降噪和滤除基线漂移等预处理，并根据建立的无创检测模型对特征信息进行提取与选择；最后，基于Stacking算法构建血红蛋白预测回归模型。通过对249例临床数据进行实验验证，得到无创检测模型的预测值与参考值的均方根误差为1.17 g/dL，相关系数为0.75。实验结果表明，本研究方法可有效实现血红蛋白浓度的无创检测。

Abstract:: Aim at the problem that traditional hemoglobin concentration detection requires blood sampling, the detection process is complicated and cannot continuously monitor the variation trend of human hemoglobin concentration，we proposed a non-invasive hemoglobin detection method based on multi-wavelength near-infrared spectroscopy. Firstly, a mathematical model for non-invasive hemoglobin detection was established based on the Beer-Lambert law, and an eight-wavelength near-infrared PPG signal acquisition system was designed based on this model. Then, the collected PPG signals were pre-processed to reduce noise and baseline drift, and the feature information was extracted and selected according to the established non-invasive detection model. Finally, the hemoglobin prediction regression model was constructed based on the Stacking algorithm. 249 clinical data were used to verify the performance, the root-mean-square error between the predicted value of the non-invasive detection model [JP2]and the reference value was 1.17 g/dL, and the correlation coefficient was 0.75. The experimental results show that this method can achieve non-invasive detection of hemoglobin concentration effectively.