Stefan Debener
Papers
3
Total Citations
87
H-Index
3
About
Stefan Debener is a leading researcher in neurofeedback and brain-computer interfaces (BCIs), with a focus on motor rehabilitation for stroke patients. His work centers on embodied neurofeedback, where real-time brain activity is translated into sensory feedback—such as through an anthropomorphic robotic hand—to enhance motor imagery training. Debener’s major contributions include demonstrating that the type of feedback (e.g., robotic vs. visual) significantly impacts user performance and neural engagement, as shown in his 2016 study (49 citations) and a 2020 paper (20 citations) on humanoid robotic feedback. He also explores self-paced, patient-driven neurofeedback protocols for post-stroke recovery (18 citations), emphasizing real-world applicability. By integrating robotics, signal processing, and psychological factors, Debener’s work has advanced the design of more effective, user-centered rehabilitation tools. His research has garnered over 87 citations across key publications, underscoring its influence in bridging neuroscience, engineering, and clinical practice.
Research Focus
Key Achievements
Top Papers
- 1Embodied neurofeedback with an anthropomorphic robotic hand49 citations · 2016
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