A java web-based platform for 3G and internet-Based Healthcare System was designed to enable the guardian with chronic disease to get help. Apache Tomcat is used as web server and MySQL is used as database server. The healthcare system platform provides some functions such as querying physiologic data information, generating PDF format health information statistics report, consulting between experts. The physiologic data such as ECG and blood oxygen saturation (SPO2) obtained by using wearable physiologic monitors was uploaded to server database. The platform also has data analysis capabilities and makes preliminary assessment of some diseases.
ECG (Electrocardiograph) is the primary method for cardiovascular disease detection. The main purpose of this research work is to develop an ECG auto-analyzing system on Android platform for 3AHcare Node. 3AHcare Node is a health monitoring device developed by IECAS, and ECG auto-analyzing system analyzes the ECG signal detected by 3AHcare Node in real time. The ECG auto-analyzing system consists of two parts: the detection part and the diagnose part. In the detection part, the noise is eliminated first,, and then the feature parameters, such as R peak, RR interval, QRS width and RR rhythm etc are extracted. The diagnose part is used to classify the ECG signal into three categories: the PVC (Premature Ventricular Contraction), NORMAL and UNKNOWN, at last, give primary diagnose suggestions for users. The ECG autoanalyzing system was first measured with data from MIT/BIH Arrhythmia Database, and then modified and tested by ECG data detected with our 3AHcare Node.
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