摘 要：
随着中医现代化发展过程中，脉象的研究受到越来越多的重视。研究以证候分型为主要目标，基于脉象数字化分析系统进行实证研究, 并对其在证候分型中的应用进行了验证。我们研究并开发了一个具有高精度、高稳定性的脉象数字化分析系统，并针对各种常见的中医证候做了早期诊断和分类研究。该系统基于复杂的机器学习算法，通过分析特定的脉象信号，能够区分和识别各种不同的中医证候。研究结果显示，脉象数字化分析系统能够在中医证候分型中起到准确、快速、定性和定量的分析作用，具有较高的临床应用价值。系统的应用可以帮助医生做出更科学、更精确的诊断,对于提高中医证候识别的准确性和效率，以及推动中医诊断理论和实践的发展具有重大意义。
关键词：脉象数字化分析系统；证候分型；中医现代化
Abstract:
In the process of modernizing traditional Chinese medicine (TCM), the study of pulse conditions has received increasing attention. Focusing on syndrome differentiation as the primary objective, this study conducted empirical research based on a digital pulse analysis system and validated its application in syndrome differentiation. We developed a highly accurate and stable digital pulse analysis system and conducted early diagnostic and classification studies on various common TCM syndromes. This system, built upon complex machine learning algorithms, can distinguish and identify different TCM syndromes by analyzing specific pulse signals. The research results indicate that the digital pulse analysis system can play an accurate, rapid, qualitative, and quantitative role in TCM syndrome differentiation, demonstrating high clinical application value. The application of this system can assist doctors in making more scientific and precise diagnoses, which is of great significance for improving the accuracy and efficiency of TCM syndrome identification, as well as promoting the development of TCM diagnostic theories and practices.
Keywords: Digital pulse analysis system; Syndrome differentiation; Modernization of traditional Chinese medicine
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