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Bridging Objective and Subjective Data: A Comprehensive Architecture for Wearable Health Research.

Matéo Rullier1, Prasadini Padmasiri1, Gunnar Hartvigsen1,2

  • 1UiT the Arctic University of Norway, Tromsø, Norway.

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|May 23, 2026
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Summary

This study introduces a secure system for collecting multimodal health data from wearable devices and mobile apps. The framework enables personalized healthcare through predictive modeling for health events and lifestyle analysis.

Keywords:
Data flow architecturedigital healthhealth monitoringwearable technology

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Area of Science:

  • Biomedical Engineering
  • Digital Health
  • Data Science

Background:

  • Healthcare increasingly relies on continuous data collection for personalized interventions.
  • Integrating data from wearables and mobile apps presents technical challenges in data management and analysis.

Purpose of the Study:

  • To present a secure, end-to-end architecture for multimodal health data collection and integration.
  • To demonstrate the feasibility of integrating multisensor wearable data with a backend framework for comprehensive health analysis.

Main Methods:

  • Developed a secure architecture integrating Empatica EmbracePlus (wearable device) and FoTiP (mobile app) with the mSpider (backend framework).
  • Implemented efficient data retrieval, tag management, and storage mechanisms.
  • Collected continuous objective and subjective health data.

Main Results:

  • Successfully integrated Empatica EmbracePlus with the mSpider framework.
  • Established efficient data handling processes, enabling comprehensive dataset creation.
  • Demonstrated the system's capability to support health-event analysis.

Conclusions:

  • The proposed architecture provides a secure and efficient solution for multimodal health data integration.
  • This framework supports personalized healthcare by enabling predictive modeling for health events (e.g., migraines, seizures, stress) and analysis of behavioral patterns.
  • Advances the potential for informed interventions and personalized medicine.