Better sensors for better healthcare
Event details
| Date | 23.07.2015 |
| Hour | 11:30 |
| Speaker |
Prof. Massimiliano Zecca, Loughborough University, UK Bio: Professor Massimiliano Zecca is Chair of Healthcare Technology at Loughborough University, UK, in the School of Electronic, Electrical and Systems Engineering (EESE), where he leads the Wearable BioRobotics research group. He is also a key member of NCSEM-EM, the National Centre for Sport and Exercise Medicine in the East Midlands, and of the NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit. Before joining Loughborough University he worked in Waseda University, Tokyo, Japan, from 2003 to 2013, and in Scuola Superiore Sant’Anna, Pisa, Italy, from 1999 to 2003. His main research interests are the observation and the analysis of the human being, which can be seen as an extreme and exquisite example of robotic system, and the quantification of their capabilities in high dexterous tasks: laparoscopic surgery, neurosurgery, gait, human-robot emotional and musical interaction, and so on. |
| Location |
ELG 120
|
| Category | Conferences - Seminars |
The healthcare scenario is changing at an increasingly rapid pace: on one hand, the population is becoming older, with more than 16% of the world population expected to become over 65yo by 2050, due to a contemporary decrease of birth rate and increase of elderly people; on the other hand, more and more technology is entering our healthcare system and our daily lives. There are growing needs for a more personalised healthcare, to allow people to live longer, healthier lives.
Among all possible solutions, our research has focused in particular on the development of extremely small and very accurate motion sensors (inertial measurement units, electromyography sensors, and so on), much less visible and much less obtrusive than the current measuring systems, together with data processing and analysis methodologies to extract useful information from the raw data flow. This combination of advanced hardware with advanced software is making it possible to make measurements in situations where it was very difficult to measure before. For example, it allows us to achieve a better and objective understanding of the skills of the trainee, of the effectiveness of the training exercise, to quantify the movements during daily life, or to produce a meaningful interaction with the advanced robots available in the labs.
This analysis will lead to the clarification of the basic mechanisms underlying human’s control of their bodies which, in turn, will be an extremely important and helpful tool for the aging society in order to realize better health-care systems, human-support devices, teleoperation methods, and so on.
Among all possible solutions, our research has focused in particular on the development of extremely small and very accurate motion sensors (inertial measurement units, electromyography sensors, and so on), much less visible and much less obtrusive than the current measuring systems, together with data processing and analysis methodologies to extract useful information from the raw data flow. This combination of advanced hardware with advanced software is making it possible to make measurements in situations where it was very difficult to measure before. For example, it allows us to achieve a better and objective understanding of the skills of the trainee, of the effectiveness of the training exercise, to quantify the movements during daily life, or to produce a meaningful interaction with the advanced robots available in the labs.
This analysis will lead to the clarification of the basic mechanisms underlying human’s control of their bodies which, in turn, will be an extremely important and helpful tool for the aging society in order to realize better health-care systems, human-support devices, teleoperation methods, and so on.
Practical information
- General public
- Free
Organizer
- NCCR Robotics
Contact
- Lirot Mayra <mayra.lirot@epfl.ch>