SArES: A Modular Edge-Based SCG Processing Framework for Space-Oriented Cardiovascular Monitoring.

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Aerospace Medicine

Background:

• Continuous cardiovascular monitoring is vital for space missions due to microgravity and radiation.
• Seismocardiography (SCG) offers non-invasive cardiac monitoring via wearable accelerometers.
• SCG signals are susceptible to motion artifacts and environmental interference.

Purpose of the Study:

• To present SArES, a mobile edge application for SCG signal acquisition, processing, and visualization.
• To enable real-time and retrospective analysis of SCG data on a tablet device.
• To facilitate reproducible evaluation of SCG processing techniques.

Main Methods:

• Development of SArES, a mobile edge-based application.
• Integration of a configurable signal processing pipeline (preprocessing, peak detection, quality assessment, feature extraction).
• Deployment on a tablet device for on-site data handling.

Main Results:

• SArES enables on-device processing of SCG signals.
• The platform supports both real-time monitoring and retrospective analysis.
• Demonstrates the feasibility of mobile edge computing for SCG analysis.

Conclusions:

• SArES provides a versatile platform for SCG analysis in demanding environments.
• Highlights the potential of mobile edge devices for wearable cardiovascular monitoring.
• Applicable to both space-oriented research and clinical cardiovascular assessment.