Marc Michielsen
Papers
8
Total Citations
196
H-Index
7
About
Marc Michielsen is a leading researcher in neurorehabilitation and human-robot interaction, with a primary focus on optimizing robot-assisted gait training (RAGT) for stroke survivors. His work systematically investigates how robotic devices like the Lokomat interact with human physiology and biomechanics to improve rehabilitation outcomes. Michielsen’s major contributions include demonstrating how varying robotic guidance force and body weight support (BWS) during treadmill walking alters trunk and pelvis kinematics, gait-related brain dynamics, and physiological responses—critical insights for setting optimal training parameters. His highly cited 2015 study (52 citations) on robotic guidance force and brain dynamics, along with his 2016 work on patient and therapist perspectives (38 citations), have shaped evidence-based RAGT protocols. Michielsen also pioneered the examination of energy consumption and cardiorespiratory load during robot-assisted walking, revealing that non-ambulatory stroke survivors can achieve aerobic exercise recommendations with robotic assistance. His research, spanning over 190 citations, bridges biomechanics, neuroscience, and clinical practice, providing foundational knowledge for designing more effective, patient-centered robotic rehabilitation therapies.
Research Focus
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