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Updated: Jul 4, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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

Bastian Steinhagen¹, Urs-Vito Albrecht¹

¹Department of Digital Medicine, Medical School OWL, Bielefeld University, Bielefeld, Germany.

Studies in Health Technology and Informatics

|July 3, 2026

Summary

This summary is machine-generated.

This study introduces SArES, a mobile edge application for seismocardiography (SCG) signal analysis. It enables real-time cardiovascular monitoring using wearable sensors, crucial for space missions and clinical settings.

Keywords:

Edge Computing Seismocardiography Signal Processing Wearable Health Monitoring

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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.