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基于生物电阻抗的血型检测新方法及系统实现
引用本文:陈里里,廖 强,胡雪,张国珍.基于生物电阻抗的血型检测新方法及系统实现[J].计量学报,2014,35(4):403-408.
作者姓名:陈里里  廖 强  胡雪  张国珍
作者单位:1. 机械传动国家重点实验室, 重庆 400030;
2. 重庆大学机械工程学院, 重庆 400030;
3. 重庆医科大学附属第一医院输血科, 重庆 400016
基金项目:重庆市自然科学基金(CSTC2006BB3176); 重庆市卫生局科研项目(2010-2-086); 重庆大学“211工程”三期创新人才培养计划(S-09106)
摘    要:提出了基于生物电阻抗测量技术的血型检测新方法并研制了检测系统。该系统采用单片机结合AD9850芯片实现DDS技术产生激励信号,设计椭圆滤波器消除信号干扰;运用低成本放大器AD8370设计稳幅电路,确保信号输出幅度不变;系统采用AD8302幅相检测芯片实现阻抗信息提取;基于人工神经网络判别红细胞悬浮液凝集强度,并结合判别规则得到血型结果。测试结果表明该系统精度高,稳定性好;临床实验表明,该系统能正确识别红细胞6种不同凝集程度,能100%正确地检测出正常标本的ABO和Rh血型,可更好地满足临床需求。

关 键 词:计量学  生物电阻抗测量技术  神经网络  血型  红细胞悬浮液  

New Method for Blood Type Detection Based on Bioelectrical Impedance Analysis Technology and its System Implementation
CHEN Li-li,LIAO Qiang,HU Xue,ZHANG Guo-zheng.New Method for Blood Type Detection Based on Bioelectrical Impedance Analysis Technology and its System Implementation[J].Acta Metrologica Sinica,2014,35(4):403-408.
Authors:CHEN Li-li  LIAO Qiang  HU Xue  ZHANG Guo-zheng
Affiliation:1.State Key Lab of Mechanical Transmission, Chongqing 400030, China;
2. College of Mechanical Engineering, Chongqing University, Chongqing 400030, China;
3. Blood Transfusion Department, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
Abstract:A new method for blood type detection and a new automated blood typing system are developed. In the system, the combined use of the AD9850 chip and MCU are employed to realize the DDS technique and produce excitation signal. Then an elliptic filter is designed to eliminate the signal interference, and an amplitude stabilized circuit is designed to stabilize the amplitude of the signal output by using an AD8370 chip, which is a low-cost variable gain amplifier. The amplitude and phase measurement chip AD8302 is adopted to extract the impedance information. Based on neural network recognition model, a new method is designed to determine the degree of agglutination in red blood cell suspension. The use of this method combined with the discriminant rule could successfully identify the blood type. Contrastive test is carried out and the new system showed high measurement accuracy and good stability. This system could better distinguish the different intensity of agglutination in red blood cell, and identified ABO and Rh blood type correctly in normal samples. The self-developed new automated blood typing system is in better agreement with clinical requirements.
Keywords:Metrology  Bioelectrical impedance analysis technology  Neural networks  Blood type  Red blood cell suspension  
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