Real-Time Heart Monitoring of Thousands of Patients

Presentation of the problem and objective of the experiment

A heart monitoring center for remote long-term continuous monitoring of patients in their home environment outside of a hospital, based on wearable ECG sensors will shorten hospitalization time and prevent serious heart damages, providing better healthcare. A large-scale demonstration of processing 10K simultaneous ECG data streams with real-time responses implementing efficient methods and ap­proaches on HPC resources capa­ble of processing several TFLOPS for computationally-inten­sive signal processing algorithms to classify arrhythmia is planned to be carried out.

Short description of the experiment

CardioHPC aims to improve the existing DL solution with advanced HPC services, as they cannot be computed with conventional computing resources. Planned simulation of 10K patients in a heart-monitoring center addresses combined problems of the real-time ECG data streaming and computa­tional-intensive pipelined tasks for detection and elimination of noise and ar­tefacts, beat, rhythm, interval and segment detection/classification, calculation of heart rate variability, and alerting on dangerous arrhythmia. Processing of millions of parallel threads needs a cloud-based HPC system and sophisticated architec­ture to process and efficiently orchestrate functions as a serverless data analytics platform with highly scalable throughput to minimize delays.

Organisations involved: 
End user: Innovation Dooel
HPC expert: University of Klagenfurt
National HPC Competence Centre: Ss Cyril and Methodius University in Skopje

Partner Ss Cyril and Methodius University in Skopje is part of the NCC North Macedonia.