Web-based Pulse Analysis System for Detection of Kidney Disease
Date Issued
2015
Date
2015
Author(s)
Wu, Zih-Heng
Abstract
Clinical data analytic system has played an important role in helping doctors for several years. The purpose of pulse analysis system is to provide a platform for researchers to analyze, share, and store patients’ pulse data. Researchers can use the system to extract features through Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), harmonics, Ensemble Empirical Mode Decomposition (EEMD), and then take advantage of the former result to gather statistics and classify patients through two-sample t-test or paired-sample t-test. A group of researchers working in National Taiwan University Hospital (NTUH) have done an experiment to examine whether to find out acute kidney injury (AKI) through this system is feasible. The experimental subjects were patients who had received open heart surgery. The experiment result shows that after surgery the mean value of harmonics 2 and 3 of patients with postoperative AKI from the proposed pulse analysis system decreased significantly, but this does not happen on patients without AKI. In addition, we made an attempt to make a biomarker on chronic kidney disease (CKD) via pulse. This system would have a potential for clinical use to detect AKI after open heart surgery and probably other diseases. However, we need more cases to verify this experiment result because the number of AKI patients is limited.
Subjects
eHealth
Medical information systems
Traditional Chinese Medicine
Type
thesis
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