中医证候气虚、血虚精准测量的应用生物学基础

In has achieved Qi, and deficiency state quantitative measurement method and device patent and prototype of based Shang, again development more points NIRS technology, and integrated and embedded ECG measurement, and blood pressure measurement, and PWV measurement, and EPO detection, and gene detection measurement technology, quantitative grading Qi, and deficiency card waiting;filter and achieved appear waiting degree of multidimensional digital, and quantitative expressed; filter different degree to virtual card for main property of Qi, and deficiency and health of, sample, gets TCM differentiation card conclusion information, and Four diagnosis collection parameter auxiliary clinic instrument quantitative report and matrix NIRS wave of real-time features information, exploration variety symptoms sample of related data features of.collection mode, and achieved data analysis system can compatible four diagnosis collection parameter auxiliary clinic instrument of TCM knowledge database, formed library type structure of virtual card of barcode, and II dimension code, topology relationship figure of open window quantitative associated data set model,exploration model of open window value and range and virtual card degree of corresponds to relationship, and precision card waiting grading of research and precision sent party medication of measures, Steering deficiency syndrome genetic research. Accurate measurement with Qi deficiency and blood deficiency as a breakthrough integrated fast and quantifiable information measurement technology development, development of precise identification of traditional Chinese medicine syndromes, for remote diagnosis and treatment of traditional Chinese medicine in the context of data, information, and provide accurate data. While implementation of monitoring device for MEMs, portable.

已实现气虚、血虚状态量化测量方法与装置专利和样机的基础上，发展多点NIRS技术，集成ECG、BP、pwv、EPO及基因检测数值技术，量化分级气虚、血虚证候；实现对证候程度的多维数字化、量化表述；筛选不同程度以虚证为主要属性的气虚、血虚与健康等受试者，获取中医辨证结论信息和四诊合参辅助诊疗仪量化报告以及矩阵NIRS波的实时特征信息，探索多种证候样本的相关数据特征的采集模式，并实现数据分析系统可兼容四诊合参辅助诊疗的中医知识数据库，形成库型结构的虚证的条码、二维码，拓扑关系图的开窗量化关联数据集模型，探索其开窗价值和范围与虚证程度的对应关系，与精准证候分级研究和遣方用药的措施，指导虚证基因水平的过程研究。以气虚、血虚测量为突破口，集成快速发展的、可量化的人体信息测量技术，实现中医证候识别的精准化发展，为大数据、信息化背景下中医诊疗，提供数据支撑，实现相关检测装置的MEMs化。

项目的主要内容圆满完成并形成重要的研究成果和重要的科学意义：1.实现气虚、血虚状态量化测量方法与装置专利和样机，发展了多点NIRS技术，集成ECG、BP、pwv、EPO及基因检测数值技术，量化分级气虚、血虚证候关键数据；2.已实现对证候程度的多维数字化、量化表述；3.筛选了不同程度以虚证为主要属性的气虚、血虚与健康等受试者，获取中医辨证结论信息和四诊合参辅助诊疗仪量化报告以及矩阵NIRS波的实时特征信息，4.探索多种证候样本的相关数据特征的采集模式，并实现数据分析系统可兼容四诊合参辅助诊疗的中医知识数据库，5.形成库型结构的虚证的条码、二维码，拓扑关系图的开窗量化关联数据集模型，探索其开窗价值和范围与虚证程度的对应关系，与精准证候分级研究和遣方用药的措施，指导虚证基因水平的过程研究。6.以气虚、血虚测量为突破口，集成快速发展的、可量化的人体信息测量技术，初步实现中医证候识别的精准化发展，为大数据、信息化背景下中医诊疗，提供数据支撑，实现相关检测装置的MEMs。

内容获取失败，请点击重试