Digna de Kam

Papers

Total Citations

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About

Digna de Kam investigates the sensorimotor control of human balance and gait, with a focus on rehabilitation and robotic modeling. Her key research areas include balance control mechanisms, humanoid robotics, and the role of arm movements in gait rehabilitation. In her most-cited work, "Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot" (2018, 9 citations), de Kam provides critical validation of the Independent Channel (IC) model—a linear frequency-domain framework for analyzing human balance through system identification. By implementing this model on a humanoid robot, she demonstrates its utility in capturing rudimentary, noise-free balance behavior, offering a foundation for future studies in postural control and robotics. Her second notable paper, "Do We Need Allowing Arm Movements for Rehabilitation of Gait?" (2013, 7 citations), challenges conventional rehabilitation approaches by questioning the necessity of restricting arm movements during gait therapy. This work highlights her commitment to evidence-based rehabilitation, suggesting that natural arm swing may enhance recovery outcomes. Though her citation counts are modest, de Kam’s contributions bridge theoretical models and practical applications, advancing understanding of human movement control and informing more effective rehabilitation strategies for patients with mobility impairments.