Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection

The analysis of the electrocardiogram (ECG) is critical for diagnosis arrhythmias. Recent advances in information and communications technology (ICT) have led to development wearable ECG devices arrhythmia-detection algorithms. This study aimed develop an ICT-based clinical trial service platform using a self-reporting technique real-time arrhythmia detection. To establish clinical-trial platform, mobile application (app), demilitarized zone (DMZ), internal network, Amazon web services virtual private cloud (AWS-VPC) were developed. data acquired by device transmitted app, which collected participants’ self-reported information. app raw AWS-VPC DMZ, respectively. In AWS-VPC, live-streaming playback-reviewer operational display currently previously clinicians through client. All measured algorithm was executed all saved. are key elements this platform. particular, subjective participants can be easily technique. These features particularly importance treating painless, sparsely occurring