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Runner-Up for BioNow Innovative Aging award, November 2013.

Award: iMagiMat or the Magic Carpet was nominated as runner up for BioNow Innovative Aging award. November 2013.

Dr Patricia Scully (CEAS) and Dr Jose Cantoral Ceballos (EEE) attended the awarded dinner on Thursday 28 November together with Daniel Syder of UMIP.

http://www.bionow.co.uk/news/bionowannounceshortlistfor2013bionowannuala.aspx

iMagiMat is a tomography based sensor mat that images the real-time pressure distribution exerted by patient footsteps, to access their mobility for diagnosis and rehabilitation monitoring. The technology will be implemented as a carpet underlay for non-intrusive capture of habitual daily movement and footfall details of elderly patients, to identify the onset of gait change leading to falls, triggering intervention. Demand is driven by the aging population and medical advances that increase patient survival rates and prolong life. The intelligent mat will monitor long term conditions affecting mobility, and the effectiveness of rehabilitation and exercise regimes.

“Magic” carpet, a hi-tech safety net for elderly care  Interview by Reuters News Agency.

‘Magic Carpet’ by University of Manchester That Reads Walking Patterns PhD students demonstrating the mat in action.

University press release

BBC news article

Sky new article

Manchester Evening news article

Daily Telegraph article

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About Patricia Scully

Senior Lecturer in Sensor Instrumentation in The Photon Science Institute and the School of Chemical Engineering and Analytical Science. Senior academic with experience of leading industrial and research council/government funded research projects at national and international level. Research interests: Optical sensing and measurement Photonic devices Optical fibre sensors Femtosecond lasers for photonic structuring Polymer optoelectronics Assistive technology for healthcare applications Polymer optical fibre Optical fibre technology Distributed sensing Functional optical coatings Energy harvesting and wireless monitoring

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