Real-Time Heart Monitoring of Thousands of Patients
1) 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.
2) 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.
3) 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.
4) CardioHPC aims to improve the existing DL solution with advanced HPC services, as they cannot be computed with conventional computing resources.
Problems to be solved
1) Huge computing resources are required to realize intensive DL and ML training on extensive datasets
2) Large-scale demonstration to optimize resources for real-time processing for tens of thousands of patients matching large streaming data requirements and compute-intensive tasks
1) GPU-based HPC resources used to train the DL-based detection of arrhythmia with an extensive set of benchmark ECG data
2) HPC and serverless computing resources used for a simulation experiment to exploit real-time performance.
1) Optimal HPC enviroment to detect arrhytmia in real-time monitoring for tens of thousands incoming ECG streams.
2) Demonstrate how HPC is used to run business and deliver real business impact, reducing costs for design and time to market.
1) 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.
2) Shorten hospitalization time and prevent serious heart damages, providing better healthcare.
CardioHPC Real-Time Heart Monitoring of Thousands of Patients
FF4EuroHPC H2020 EU Project 951745 - Call 2 Experiment no.1112
Project start: 01.03.2022
Duration: 15 months
Innovation Dooel Skopje
SME - end user
University of Klagenfurt
Ss Cyril and Methodius University
HPC Competence Center