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SUMMARY:Better sensors for better healthcare
DTSTART:20150723T113000
DTSTAMP:20260503T171330Z
UID:fc856d3b7be5f4a1a2dac72f6b84ccd900c06c85f07c16cb49859b17
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Massimiliano Zecca\, Loughborough University\, UK\nBio: 
 Professor Massimiliano Zecca is Chair of Healthcare Technology at Loughbor
 ough University\, UK\, in the School of Electronic\, Electrical and System
 s Engineering (EESE)\, where he leads the Wearable BioRobotics research gr
 oup. He is also a key member of NCSEM-EM\, the National Centre for Sport a
 nd Exercise Medicine in the East Midlands\, and of the NIHR Leicester-Loug
 hborough Diet\, Lifestyle and Physical Activity Biomedical Research Unit. 
 Before joining Loughborough University he worked in Waseda University\, To
 kyo\, Japan\, from 2003 to 2013\, and in Scuola Superiore Sant’Anna\, Pi
 sa\, Italy\, from 1999 to 2003. His main research interests are the observ
 ation and the analysis of the human being\, which can be seen as an extrem
 e and exquisite example of robotic system\, and the quantification of thei
 r capabilities in high dexterous tasks: laparoscopic surgery\, neurosurger
 y\, gait\, human-robot emotional and musical interaction\, and so on.\nThe
  healthcare scenario is changing at an increasingly rapid pace: on one han
 d\, the population is becoming older\, with more than 16% of the world pop
 ulation expected to become over 65yo by 2050\, due to a contemporary decre
 ase of birth rate and increase of elderly people\; on the other hand\, mor
 e and more technology is entering our healthcare system and our daily live
 s. There are growing needs for a more personalised healthcare\, to allow p
 eople to live longer\, healthier lives.\nAmong all possible solutions\, ou
 r research has focused in particular on the development of extremely small
  and very accurate motion sensors (inertial measurement units\, electromyo
 graphy sensors\, and so on)\, much less visible and much less obtrusive th
 an the current measuring systems\, together with data processing and analy
 sis methodologies to extract useful information from the raw data flow. Th
 is combination of advanced hardware with advanced software is making it po
 ssible to make measurements in situations where it was very difficult to m
 easure before. For example\, it allows us to achieve a better and objectiv
 e understanding of the skills of the trainee\, of the effectiveness of the
  training exercise\, to quantify the movements during daily life\, or to p
 roduce a meaningful interaction with the advanced robots available in the 
 labs.\nThis analysis will lead to the clarification of the basic mechanism
 s underlying human’s control of their bodies which\, in turn\, will be a
 n extremely important and helpful tool for the aging society in order to r
 ealize better health-care systems\, human-support devices\, teleoperation 
 methods\, and so on.
LOCATION:ELG 120 
STATUS:CONFIRMED
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