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About

T. Castermans is a pioneering researcher at the intersection of brain-computer interfaces (BCIs), bipedal robotics, and human gait rehabilitation. Their work focuses on developing biologically inspired control systems for lower limb prostheses and orthoses, bridging the gap between neural intention and mechanical actuation. Castermans’ most significant contributions include the first proof-of-concept for a five-state P300-based foot lifter orthosis (26 citations) and a novel control scheme for active leg prostheses driven by eye movement sequences (28 citations). These innovations address a critical gap in the field: most active lower limb prostheses fail to integrate user intent, instead relying on residual limb movements or healthy body parts. Castermans also advanced fundamental understanding of human locomotion, demonstrating corticomuscular coherence during treadmill walking (21 citations), providing further evidence for supraspinal control in gait—challenging the long-held assumption that walking is purely automatic. Their work on PCPG (Programmable Central Pattern Generator) algorithms (9 and 8 citations) has laid the groundwork for high-level neural command control of neuroprostheses. By combining neural decoding, CPG-based locomotion models, and real-time control, Castermans has opened new pathways for intuitive, user-driven rehabilitation technologies that could dramatically improve mobility for individuals with lower limb impairments.