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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.
None:
Continuous cardiovascular monitoring is essential in demanding environments such as space missions, where physiological changes may occur under microgravity and radiation exposure. Seismocardiography (SCG) provides a non-invasive approach for monitoring cardiac activity using wearable accelerometer-based sensors, but the signals are highly sensitive to motion artifacts and environmental influences. This paper presents SArES, a mobile edge-based application for the acquisition, processing, and visualization of SCG signals. The system integrates a configurable signal processing pipeline enabling preprocessing, peak detection, signal quality assessment, and feature extraction directly on a tablet device. The platform supports both real-time monitoring and retrospective analysis of recordings. The proposed architecture enables transparent and reproducible evaluation of SCG processing strategies and demonstrates the potential of mobile edge devices for wearable cardiovascular monitoring in space-oriented and clinical contexts.
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