The Smart Health Technologies Group is subdivided into four main labs according to focus area of investigation:
- Physiological sensing: Solutions to the challenges arising from physiological sensing from body sensor networks and bio-sensing platforms. Advanced Signal processing solutions for wearable and portable eHealth systems.
- Neuroinformatics lab: Development of computational models and analytical tools for cognitive neuroscience research. Advanced computational intelligence to deal with the huge and complex neuroscientific data.
- Robotics in healthcare lab: Development of intelligent robotic platforms for nursing and assistance as well as therapeutic and assistive robots for rehabilitation and continuing care.
- IoT for health lab: Investigating the potential of Internet-enabled devices and sensors to seamlessly collect and analyze real-time health and fitness data. Connecting and fuse networks of medical devices.
- Computer Vision in Healthcare lab: Using computer vision techniques to enhance medical imaging to diagnose, monitor or treat medical conditions. Additionally, we also use video information as a contextual source to gain high level understanding about a health related environment.