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Related Experiment Video

Updated: Jun 21, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Workflows for intelligent monitoring using proxy services.

Stefan Rüping¹, Dennis Wegener, Stelios Sfakianakis

¹Fraunhofer IAIS, Schloss Birlinghoven, 53754 St. Augustin, Germany. stefan.rueping@iais.fraunhofer.de

Studies in Health Technology and Informatics

|July 14, 2009

Summary

This study introduces a proxy service approach for seamless data monitoring in clinical research. It enables high-performance, on-line monitoring of data streams, overcoming challenges in grid adoption.

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Related Experiment Videos

Last Updated: Jun 21, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

eScience
Healthcare Applications
Biomedical Research

Background:

Grid technologies are successful in eScience and healthcare.
Workflow tools are applicable in biomedical research.
Clinical research faces challenges in grid adoption.

Purpose of the Study:

Investigate data monitoring in grid context.
Implement seamless transition from proof-of-concept to on-line monitoring.
Address challenges in long-running clinical trials.

Main Methods:

Developed a proxy service approach.
Enabled repeated execution of single-run workflows.
Focused on high-performance on-line data stream monitoring.

Main Results:

Demonstrated a seamless implementation for data monitoring.
Achieved efficient execution of workflows with little overhead.
Facilitated on-line monitoring for clinical trials.

Conclusions:

The proxy service approach effectively bridges the gap for clinical data monitoring.
This method supports high-performance on-line monitoring in grid environments.
It addresses practical adoption challenges for clinical research workflows.