Developing a Cross-Platform Application for Integrating Real-Time Time-Series Data from Multiple Wearable Sensors

Abstract

This research presents a cross-platform application, developed with Flutter, for the efficient integration and management of real-time data from wearable sensors including Apple Watch, Android Wear, and Empatica E4. Compatible with iOS and Android, the app collects various physiological signals for easy analysis by health professionals. Utilizing InfluxDB, a time-series database, our development ensures efficient data handling, even from multiple sources, and enables real-time analytics. This robust, scalable tool signifies a notable advancement in mHealth, offering seamless data integration and management for those utilizing wearable sensor technology in healthcare research and practice.

Keywords

• cross-platform application
• real-time data
• time-series database
• wearable sensors