Medical Robotics

RESEARCH SUMMARY

The medical robotics group is a muldisciplinary team dedicated to the development of robotic technology in the field of health and surgery. Experts in the development of wearable electronics for monitoring biometric parameters and in the application of artificial intelligence (AI) techniques for early diagnosis of pathologies and / or the improvement of quality of life of users. In the field of surgery we work on the development of new intraoperative medical imaging systems, based on RF and US, for application to imaging-guided robotic surgery.

Research on nBio – Medical Robotics Group

RESEARCH LINES

Line 1: Surgical robotics

The incredible advances in surgery achieved in recent years have been made possible in part by the inclusion of technology in the OR and the development of new robotic tools that allow the surgeon to carry out his/her work in a more efficient and efficient way. Our motto in this line aims to develop a cooperation between the surgeon and the robotic system that allows him/her to do his work in a better way, achieve new surgical approaches and make efficient use of technology. We have carried out projects to address MIS, SILS, HALS,… and for both abdominal surgery and neurosurgery.

Group’s Surgical Robotics Operation Room

Line 2: Image-guided surgery

The possibility of having both anatomical and functional intra-operation information opens up a range of options for the surgeon to better perform his work. We work on researching new technologies to expand information and show it to the surgeon efficiently. We have performed medical imaging equipment based on RF antennas for both breast scan and neurosurgery. We also researched imaging techniques to show US-Intraoperative on preoperative images.

Fusion images of new RF images for MRI image-guided surgery

Line 3: Wearable health electronics

The joint development of wearable health electronics, capable of acquiring biosignals, and new AI algorithms, capable of inferring clinical information from biosignals is today one of the most powerful tools for early detection and management of chronic diseases. We research in the development of ad-hoc solutions for specific pathologies, such as ASD, epilepsy, parkinson or diabetes. Our work includes electronic design, microcontroller programming, data management and AI development.

Architecture of wearables developed for TEA

Line 4: Diabetes Technologies

Technological development in diabetes has brought about a huge change in the self-management of this chronic pathology. New research on better continuous non-invasive glucose sensors (NICGM), new closed loop control algorithms with new capabilities, new models of glucose-insulin systems or systems to automate carbohydrate counting will further improve this self-management. We researched the development of microwave-based, multifrequency NICGMs that enable the development of AI algorithms for the computation of glycemia. We also do research in the control and development of artificial pancreatic systems (APS).

Dyabetes technology initiative