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Orthopedic & Muscular System: Current Research

Orthopedic & Muscular System: Current Research
Open Access

ISSN: 2161-0533

+44-20-4587-4809

Nicolas Vuillerme

Nicolas Vuillerme

Nicolas Vuillerme
Department of Sciences and Technologies
Grenoble Joseph Fourier University, France

Biography

Dr. Nicolas Vuillerme received the PhD degree in Sciences and Technologies for Physical Activities and Sports – Neurosciences and the Habilitation degree in Medicine from the Grenoble Joseph Fourier University France in 2002 and 2010 respectively He is currently Assistant Professor at the Grenoble Joseph Fourier University and is leading the Data Acquisition Fusion and Networks for Medicine research team of the AGIM AGeing Imaging Modeling FRE 3405 CNRSUJFEPHE Laboratory He has published about 200 scientific papers and work also includes activities of valorisation of Research Development results and technology transfer since he has authored or coauthored about 20 patents He is responsible for the Diploma of Research and Technology in Health Engineering of the Grenoble Institute of Technology Grenoble INP and Joseph Fourier University UJF and he is also a coordinator of the “Ehealth” transversal theme within the French CNRSINSERM Research Network on “Science Information and Communication Technologies for Health” GDR STICSanté.

Research Interest

Nicolas Vuillerme develops and encourages an interdisciplinary educational and research program which involves: (1) a fundamental research in the fields of Psychology, Neurosciences and Biomechanics. The aim is to investigate the interactions between sensory-motor and cognitive mechanisms involved in the control of human perceptive, spatial, postural and motor behaviours and their changes as a results of normal aging, chronic diseases, pathologies and/or accidents. This work is based on human psychophysical, behavioural and neuroimaging experimental studies and data fusion modelling human behaviour. (2) an applied research dedicated to Technologies and Services for Ageing, Health and Autonomy in the field of Information Technology Engineering Sciences. The aim is to develop and validate physical and physiological multimodal, embedded and interactive sensors and actuators – designed for assessment of sensory, motor and cognitive capacities, continuous monitoring activity, ambulatory medical care, perceptual supplementation, cognitive and functional assistance in activities of daily living and occupational activities and to integrate these devices in a multimodal home automation environment.

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