SIRENIC: Stream Infrastructure for the Real-time Analysis of Intensive Care Unit Sensor Data

Yanif Ahmad, PhD, Assistant Professor, Computer Science, Johns Hopkins University

We are designing Sirenic as open-source data streaming infrastructure for the real-time analysis of patient physiological data in intensive care units. Sirenic exploits systems specialization and scaling capabilities enabled by our K3 declarative systems compilation framework to realize orders of magnitude data throughput gains over current generation stream and database systems. Our proposal aims at delivering a proof-of-concept data collection and analysis pipeline to support exploratory research activities in ICU healthcare, with the explicit capability to operate on live data and to empower alarms research and event detection in the real-time setting.