Suppr超能文献

东方脉象参数智能分析算法研究

The study on the intellectual analysis algorithm for oriental pulse parameters.

作者信息

Lee Junyoung

机构信息

Department of Computer and Electronic Engineering, Myongji College, 356-1 Hongeun3-Dong, Seodaemun-Gu, Seoul 120-776, South Korea.

出版信息

J Med Syst. 2007 Oct;31(5):345-9. doi: 10.1007/s10916-007-9074-z.

Abstract

The digital pulse diagnosis system has been developed on the basis of a systematic pulse diagnosis method. This study has applied the diagnosis algorithm to 60 patients at an oriental medicine hospital. The diagnosis algorithm had been developed on the basis of the pulse wave data acquired through the sensor of the system. The test examined the patients' pulse waves by the two methods of superficially and deeply checking them on the right and left wrists respectively. Since each method checked three parts of each wrist, which are Chon, Kwan, and Chuk, a total of 12 pulse waves were measured per patient. This study presents diagnosis parameters for clinical diagnoses by analyzing structural elements of pulse waveforms. As a result of having comparatively analyzed the result of 720 clinical data diagnosed by the digital pulse diagnosis system, developed by the study and the clinical results of oriental medicine doctors, the identical clinical opinion amounted to as much as 96.25%. The clinical application of the digital pulse diagnosis system developed by this study is of great significance in the sense that it heightened the objectivity and accuracy of the diagnosis. In the future, there should be continued research for establishing the pulse diagnosis database through incessant clinical tests.

摘要

数字脉诊系统是在系统的脉诊方法基础上开发的。本研究将诊断算法应用于一家中医院的60名患者。该诊断算法是基于通过系统传感器采集的脉搏波数据开发的。测试分别通过在左右手腕上轻按和重按两种方法检查患者的脉搏波。由于每种方法检查每个手腕的三个部位,即寸、关、尺,因此每位患者共测量12个脉搏波。本研究通过分析脉搏波形的结构要素,提出了用于临床诊断的诊断参数。通过对本研究开发的数字脉诊系统诊断的720例临床数据结果与中医医生的临床结果进行比较分析,相同的临床意见高达96.25%。本研究开发的数字脉诊系统的临床应用具有重要意义,因为它提高了诊断的客观性和准确性。未来,应通过不断的临床试验继续进行研究,以建立脉诊数据库。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验