Web-based pulse analysis system for detection of acute kidney injury

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), 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 received open heart surgery. The experiment result shows that after surgery the mean value of harmonic 2 and 3 of patients with postoperative AKI from the proposed pulse analysis system decreased significantly, but not in patients without AKI. This system may have a potential for clinical use to detect AKI after open heart surgery and probably other disease. However, we need more cases to verify this experiment result because the number of AKI patients is limited.