PTEC2022-004

ELECTRONIC ENGINEERING GROUP APPLIED TO THE HEALTH FIELD

Research support platforms

Objectives and lines of research

– Ambient Intelligent for Independent Living & Movement tracking. Motion analysis in people. Use of inertial and external sensors. Monitoring of physical activity or rehabilitation (Motion Lab). Assessment of frailty in the elderly. Behavioral analysis, ADLs based on location, power consumption, object usage, body sensory networks, etc. Physiological analysis, activity monitoring, rehabilitation assistance, non-intrusive behavioral analysis in dwellings. Assessment of physical and cognitive impairment in vulnerable populations.
– High performance ultrasonic equipment. Work on 3D reconstruction techniques from ultrasound images to improve the diagnosis of thyroid cancer, and development of endourethral ultrasonic precision devices for application in postoperative follow-up. Software tools for diagnostic support and automatic diagnosis based on ultrasound image processing.
– Automatic analysis of human activity for the detection of functional limitations: design, implementation and validation of automatic clinical tests of functional limitation, based on multisensory information (audio, video and depth sensors, as well as portable sensors that can be worn by the person), with objective assessments with clinical validity, and without the interference in the tests caused by the physical presence of the evaluator.
– Design and implementation of semi-autonomous intelligent robotic platforms for adults and children without mobility based on low-cost commercial motorized wheelchairs. The solutions bridge the gap between research labs and the market, balancing performance and cost by using low-cost hardware and open software standards in mobile robots. Wide range of potential users.
– Learning techniques to solve deformable reconstruction and registration applied to laparoscopic images. Augmented Reality (AR) methods and systems in laparoscopic surgery. Real-time visualization on the laparoscopic image of three-dimensional structures obtained from preoperative imaging. Real-time planning of laparoscopic surgery based on the information displayed, improving feedback and spatial vision.
– Localization from optical signals using building illumination
– Edge computing: digital systems for data capture and processing in systems with low latency and network connectivity.
– Artificial vision with machine learning techniques: execution of machine learning algorithms in digital systems.
– Wireless sensor networks, implementation and processing. Estimation of nonlinear, periodic and event-driven processes. Time series modeling of biological signals. Electronic control applied to robotics and Smart cities.