FFT处理识别慢性肾脏病患者中医穴位脉频

E. Yudaningtyas, D. Santjojo, Waru Djuriatno, I. Siradjuddin, M. R. Hidayatullah
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引用次数: 10

摘要

近年来,慢性肾脏疾病(CKD)的死亡率显著上升。这种疾病通常在晚期才被诊断出来。另一方面,有传统的中国方法或技术来诊断CKD的存在。诊断是通过检查位于左手桡动脉的村、关、池三个点的脉搏触诊进行的。CKD患者的脉象记录与健康人的脉象记录相比,显示出不规则的特征。本研究的目的是确定与CKD阶段相关的不规则脉冲频谱之间的关系,特别是来自chi区域。将不规则脉搏数据分为CKD患者的1、2、3a、3b、4、5期6期。这些数据是通过测量收缩期或血管处于放松状态时的压力来收集的。在此期间,仪器记录脉冲的反射,包括幅度、频率和脉冲波形的信息。观察集中在低和高振幅之间的部分信号的脉冲模式(收缩期)。采用快速傅里叶变换(FFT)技术对不规则图案进行处理,定量地找出不规则图案的特殊特征。结果表明,该模式的不规则性与肾功能障碍的严重程度有关。FFT处理结果表明,光谱中存在许多不同的特殊特征。数据与CKD分期相关。CKD患者的聚类数据表明,与健康受试者的数据1.11 Hz相比,CKD患者的阶段与频谱向低频移动的相关性为0.26 Hz。
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Identification of pulse frequency spectrum of chronic kidney disease patients measured at TCM points using FFT processing
Mortality due to chronic kidney disease (CKD) increases significantly in a recent year. The disease often is diagnosed in an advanced stage. On the other hand, there has been traditional Chinese method or technique to diagnose the presence of the CKD. The diagnosis is carried out by examining pulse palpation at three points namely cun, guan and chi located at the radial artery of the left hand. Records of the pulse pattern of the CKD patients showed irregular characteristics compared with regular pattern obtained from healthy subjects. The aim of this study was to determine the relationship between the frequency spectrum of the irregular pulses related to the stages of the CKD especially from the chi area. Data of the irregular pulse were categorized into 6 stages i.e. 1, 2, 3a, 3b, 4, and 5 of the CKD patients. The data were collected by measuring pressure during systolic periods or when blood vessels were in a relaxed state. In this period, the instrumentation records reflections of the pulse including information about the amplitudes, frequencies, and pulse wave patterns. Observations were focused on the part of the signal between low and high amplitude on pulse patterns (systolic period). The irregular patterns were processed by a Fast Fourier Transform (FFT) technique to find out their special characteristics quantitatively. Results showed that the pattern irregularity was related to the severity of the kidney dysfunction. The FFT processing results showed a number of different special characters in the spectrum. The data were clustered related to the CKD stages. The clustered data of the CKD patients indicates a correlation between the stages and the shifting of the spectrum to lower frequencies which are 0.26 Hz compared to health subject's data 1.11 Hz.
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