The H2TRAIN proposal is funded under the sixth edition of the Electronic Components and Systems (ECS) Strategic Research and Innovation Agenda (ECS-SRIA). It addresses topics and major challenges related to enabling digital technologies in holistic health-lifestyle supported by artificial intelligence (AI) networks.
Biosensors for e-health and smart tracking of sport and fitness are experiencing unprecedented growth in both consumer and professional markets. However, despite recent advancements, there are still several prospective revolutionary improvements needed, particularly in relation to:
- Sensing new biosignals and tracking new activity patterns.
- Improving battery lifetime and energy management for continuous use.
- Ensuring secure, reliable, and efficient data analysis with AI algorithms and connectivity with the Internet of Things (IoT).
The goal of H2TRAIN is to advance the state of the art in these areas by leveraging the remarkable properties and synergistic potential of one-dimensional (1D) and two-dimensional (2D) materials (1DM and 2DM). These materials will enable more sensitive, efficient, and miniaturized biosensing capabilities within the established CMOS technology framework. This advancement will contribute to the growth of e-health services assisted by AI and strengthen the development of IoT applications in health & wellbeing and digital society.
H2TRAIN not only focuses on facilitating digital technology but also involves the development of new 1DM and 2DM-based devices for sensing, energy harvesting, and supercapacitor storage. These innovations aim to integrate sport and health activities into IoT applications, making them accessible as wearable technology.
H2TRAIN combines mature CMOS technology products for health and sport sensing with embedded intelligence as a cross-sectional technology. This combination offers a broad spectrum of technology demonstrators (TD) based on advanced sensors, such as tattoo sweat, C-reactive protein, cortisol, and lactate.