Fuzzy Inference Engine Integrated with Blood Pressure and Heart Variability for Medical Web Platform

In this thesis, a web platform is proposed. The web platform combines blood pressure (BP) with heart rate variability (HRV) information. Through the cloud storage and Fuzzy algorithms, the system has analyzed each user's BP and HRV data. Patients use sphygmomanometer to get their diastolic blood pressure (DBP) and systolic blood pressure (SBP). The web platform crosses user's BP with HRV through the Fuzzy algorithms. Besides, they can measure their HRV via ECG Patch. The measured BP and HRV data are transmitted and stored in cloud servers. Physicians can track and analyze every user's health on the web platform. In addition, users also use the platform to find more information about their historical measurement.