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Updated: May 24, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

A Mobile Research App for Post-COVID Fatigue Monitoring.

Marcel Weber¹, Ann-Kathrin Knak^1,2, Antje Wulff¹

¹Big Data in Medicine, Department of Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

Studies in Health Technology and Informatics

|May 23, 2026

Summary

This summary is machine-generated.

A new mobile app helps track post-COVID fatigue, a common symptom that fluctuates daily. This tool offers a user-friendly, flexible platform for better symptom monitoring in research and potential patient self-management.

Keywords:

Mobile health Post-COVID long-COVID requirements analysis smartphone-based assessment

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Last Updated: May 24, 2026

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Area of Science:

Digital Health
Clinical Research Technology
Patient-Reported Outcomes

Background:

Post-COVID fatigue is a prevalent and debilitating symptom impacting daily life.
Fluctuating fatigue levels present challenges for accurate clinical assessment.
Existing survey tools may lack the flexibility and usability required for continuous symptom monitoring.

Purpose of the Study:

To develop a mobile application for capturing fluctuating post-COVID fatigue symptoms in real-world settings.
To enhance symptom tracking by improving upon previous survey-based methodologies.
To create a user-friendly and flexible tool for post-COVID research.

Main Methods:

A progressive web application (PWA) using React was developed based on patient interviews and a prior survey tool.
Key features include offline functionality, flexible testing schedules, visual instructions, and local data storage.
Technical validation was performed on Android and iOS devices to ensure performance and compatibility.

Main Results:

The mobile app offers improved usability, reduced cognitive load, and a minimalist design optimized for mobile devices compared to survey tools.
Technical testing confirmed stable and compatible performance across various mobile platforms.
The application successfully integrates offline capabilities and personalized tracking features.

Conclusions:

The developed mobile app provides a flexible and user-friendly platform for tracking post-COVID fatigue symptoms.
The tool is suitable for use in post-COVID clinical studies.
Future development may extend the application's utility for patient self-management.