Dynamic Spectrum and BP Neural Network for Non-invasive Hemoglobin Measurement

摘要：

To minimize and hopefully to eliminate the discrepancies among the individuals and the complicated conditions during non-invasive hemoglobin measuring by near-infrared spectroscopy, the Dynamic Spectrum (DS) method was applied. DS is more accurate than the traditional method in hemoglobin noninvasively measurement, which is proved by the theoretical derivation. In vivo measurements were carried out in 60 healthy volunteers, and Back Propagation Neural Network (BP-NN) was used to establish the calibration model of hemoglobin concentration against DS data, which were preprocessed by some special algorithms. The correlation coefficient of the predicted values and the true values was 0.907, which showed that DS method can be applied as a new approach to noninvasive hemoglobin analysis by near-infrared spectroscopy.

关键词： Dynamic Spectrum Non-invasive Measurement Hemoglobin Artificial Neural Network

作者: Huiquan Wang Gang Li Zhe Zhao Ling Lin

作者单位: State Key Laboratory of Precision Measurement Technology and Instruments,Tianjin University,300072, Tianjin, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 67-74

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）