What is H2TRAIN ?

The H2TRAIN project aims to advance digital health and lifestyle technologies by developing innovative biosensors using advanced materials, which enhance sensitivity and energy efficiency.

These technologies, integrated with AI and IoT systems, provide continuous, reliable monitoring and analysis for health and sports applications.

We develop technologies to improve people’s life

Our project develops around 10 distinct technologies that have the potential
to enable and significantly enhance key areas of our lives.

Tattoo Sweat Sensor System

Our tattoo sweat sensors and electronic devices utilize printed electronics on flexible substrates. These smart systems feature edge computation for self-calibration, secure connectivity, and seamless integration with housing, attachment, and textiles for superior functionality.

Glycemic Sensor System

Our glycemic sensor device provides precise glucose monitoring according to clinical standards. Designed as a wearable component, it integrates seamlessly into textiles for continuous use. Equipped with AI for self-calibration and output optimization, it also boasts advanced connectivity and robust security features.

pH Sensor System

Our wearable device continuously and non-invasively monitors sweat pH. Integrated into an advanced embedded intelligence system, it offers robust connectivity and security, forming a smart edge-cloud continuum.

ECG, EMG & SpO2 Sensor System

Our cardio and SpO2 sensor is a cutting-edge, non-invasive wearable that combines ECG and pulse oximetry. It offers continuous monitoring with advanced communication technology and integrates seamlessly into an edge-cloud computing system for enhanced IoT functionality.

C-reactive protein, cortisol & lactate Sensor System

Our graphene-based device detects biomarkers using GFET technology, with AI-driven calibration. It seamlessly integrates into IoT and edge-cloud systems, offering advanced connectivity and robust security features.

In-water Activity-tracker System

Our in-water activity tracker monitors sports performance with advanced accelerometers. It integrates into textiles, bands, and wristbands, leveraging embedded intelligence for both edge and cloud-based performance data analysis.

Energy Harvesting System

Our energy harvester system features a thermoelectric generator (TEG) and an RF-power conversion unit (RFPCU) within a unified energy management unit (EMU). It includes a supercapacitor (SCAP) for improved storage and operates as an IoT component, seamlessly integrating with other systems.

Biometric Cryptography System

Our biometric cryptography system encrypts data using body parameters to ensure protection and privacy. Integrated into both client applications and servers, it guarantees secure data management for wearable devices.

Textile Integrated Activity Tracker System

Our IoT wearable device, embedded with accelerometers and magnetometers in textiles, tracks movement and posture, offering valuable feedback on exercise quality and training progress.

Edge-cloud AI Continuum System

The edge-cloud AI continuum system delivers the software infrastructure needed for H2TRAIN use cases, ensuring real-time data processing and analysis with the required computing resources and AI algorithms.

Our Technologies in the daily life

H2TRAIN

Remote Assisted Living

Our solution uses edge-to-cloud, AI, and digital twin technologies to enhance elderly care with a focus on sustainability and the P4 model (Predict, Prevent, Participate, Personalize). It enables:

  • Remote Monitoring: Track vital signs, sleep, and physical activity with IoT sensors.
  • Digital Twin: Provides real-time updates and alerts for healthcare providers.
  • User-Friendly App: Allows elderly users to view data and connect with caregivers.
  • Integrated Care: Facilitates data sharing for real-time analysis by medical specialists.

This approach supports comprehensive care for individuals at home and in nursing homes, involving all key stakeholders in the process.

H2TRAIN

Intelligent Assisted Sport Coaching

The IASC solution combines edge-to-cloud, AI, and digital twin technologies to deliver a comprehensive sports performance system. It uses IoT sensors for real-time monitoring of physiological and environmental data.Key Features:

  • Remote Support: Tracks athletes’ health and performance through wearable and sports equipment sensors.
  • Digital Twin: Provides a virtual operator for real-time insights and decision support.
  • User Apps: Offers tools for athletes and professionals to access data, alerts, and performance metrics.
  • Integrated Analysis: Centralizes data processing for both individual and team performance evaluation.

This system enhances sports medicine with personalized and predictive insights.

H2TRAIN

Remote Post-Surgery and Rehab monitoring

The RPS & RM use case integrates standard equipment and sensors in post-surgery and rehab settings for comprehensive patient data collection.Key Features:

  • Holistic Approach: Connects edge computing devices to a centralized system for real-time data processing.
  • Digital Twin: Offers a virtual operator for automated monitoring and decision support using AI and machine learning.
  • User Application: Provides a user-friendly app for real-time data, alerts, and key performance indicators.
  • Team Integration: Enables real-time data analysis by specialists from multiple team members.

This system advances patient monitoring and rehabilitation with cutting-edge IoT and digital twin technologies.

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This project has received funding from the European Union’s Horizion 2020 research and Innovation program under the grand agreement No. GA 101140052

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