【摘要】 构建中医闻诊数学基本模型并优化算法，应用于四诊合参辅助诊疗仪。构建基于快速傅里叶变换的的数学模型，并从深度学习的角度优化算法，全面完善了闻声诊子模式。临床使用闻声诊系统采集30例抑郁症受试者的闻诊信息进行分析。30例受试者数字化闻声诊信息的采集分析结果不仅与中医传统理论相符，而且与医师人工诊断的结果一致性很好，获得临床医师的认可。应用结果表明构建关于中医闻诊系统的快速傅里叶变换数学模型及全特征闻诊深度学习算法性能可靠，能很好地提升四诊合参辅助诊疗仪的使用效果。更多还原

【Abstract】 Construct a basic mathematical model for the auscultation of TCM and optimize the algorithm to comprehensively improve the performance of the four diagnostic combined parameters auxiliary diagnosis and treatment instrument. Constructs a mathematical model based on the Fast Fourier Transform and optimizes the algorithm from the perspective of deep learning, comprehensively improving the sub-mode of auscultation and collecting information on auscultation from 30 subjects with depression for clinical analysis. The collection and analysis results of digital auscultation information from 30 subjects are consistent with TCM theories and are recognized by clinical TCM physicians. The application results indicate that the fast Fourier transform mathematical model and full feature deep learning algorithm of the constructed traditional Chinese medicine auscultation system have reliable performance, and can effectively improve the effectiveness of the four diagnostic combined parameters auxiliary diagnosis and treatment instrument.更多还原