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柔性传感器智能脉诊系统信号采集处理技术

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脉搏诊断仪器的研发和使用为传统中医的智能诊断提供了客观基础,但现有的脉搏诊断设备没有考虑采集部位(寸、关、尺)与压力(浮、中、沉)共同作用时对诊断结果的影响,诊断精度仍有提升空间.为了更加准确地识别脉象,本文提出了一种基于柔性传感器的智能脉诊系统和相应的脉搏信号处理方法.在寸、关、尺采集部位安装3个阵列柔性传感器,通过设置浮、中、沉不同压力阈值,获取多组脉象信号,接着提取信号特征,并基于多重集典型相关分析(Multi-set canonical correlations analysis,MCCA)方法对多通道特征进行融合,以获得更多脉搏信息.实验结果表明,本文所提方法在4种典型脉象分类中,脉象分类准确度得到进一步提升.本文设计的采集部位、压力相结合的脉象感应方法可以模拟还原中医诊断过程,有助于提取真实的脉搏信号,为后续基于柔性传感器的智能脉搏诊断设备的研发提供了理论基础和参考价值.
Signal Acquisition and Processing Technology of Flexible Sensor Intelligent Pulse Di-agnosis System
The development and application of pulse diagnostic instruments provide an objective basis for the intelligent diagnosis of traditional Chinese medicine.However,the existing pulse diagnostic instruments do not consider the influence of the collection region(Cun,Guan,Chi)and pressure(Fu,Zhong,Chen)on the diagnostic results,and there is still room for the improvement of the diagnostic accuracy.In order to recognize pulse condition more accurately,this paper presents an intelligent pulse diagnosis system based on flexible sensors and the corresponding pulse signal processing method.By installing three array flexible sensors at the collection region of Cun,Guan and Chi and setting different pressure thresholds of Fu,Zhong and Chen,multiple pulse signals are obtained.Signal features are then extracted,and multi-channel features are integrated based on multi-set canonical correlations analysis(MCCA)to get more pulse information.Experimental results show that the proposed method can further improve the accuracy of pulse condition classification in four typical pulse types.The multi-point pulse condition induction designed in this paper based on two aspects of region and pressure can simulate and restore the real Chinese medicine diagnosis process and help to extract real pulse signals,providing a theoretical basis and reference value for the subsequent research and development of intelligent pulse diagnosis instruments based on flexible sensors.

polymer-based flexible array sensorpulse image perceptionmulti-set canonical correlations analysis(MCCA)feature fusionpulse signal

王世丹、许红、付红波、丁付阳、吴大鸣

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北京化工大学塑料机械与塑料工程研究所,北京 100029

高分子材料加工装备教育部工程研究中心,北京 100029

聚合物基柔性阵列传感器 脉象感知 多重集典型相关分析特征融合 脉象信号

2024

数据采集与处理
中国电子学会 中国仪器仪表学会信号处理学会 中国仪器仪表学会中国物理学会微弱信号检测学会 南京航空航天大学

数据采集与处理

CSTPCD北大核心
影响因子:0.679
ISSN:1004-9037
年,卷(期):2024.39(1)
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