Papers
4
Total Citations
174
H-Index
3
About
Nicolas Vuillerme is a leading researcher in biomedical engineering and human movement science, whose work bridges the gap between mobile technology and clinical rehabilitation. His most cited paper, "Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion" (2015, 124 citations), demonstrates his pioneering role in validating smartphones as reliable tools for clinical motion analysis, particularly for joint angle measurement—a contribution that has reshaped accessible biomechanical assessment. Vuillerme has also advanced neurorehabilitation through studies like "Effects of gait training using a robotic constraint (Lokomat®) on gait kinematics and kinetics in chronic stroke patients" (2014, 38 citations), where he explored robotic-assisted gait training to improve motor function in chronic stroke survivors. His interdisciplinary reach extends to computational neuroscience, as seen in his work on neural network-based image processing for understanding natural vision mechanisms. With a research portfolio spanning sensorimotor control, rehabilitation robotics, and digital health, Vuillerme’s impact is evident in over 160 citations across his top works, positioning him as a key figure in translating engineering innovations into practical clinical solutions for movement disorders and rehabilitation.
Research Focus
Key Achievements
Top Papers
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