Lea Hehenberger

Graz University of Technology

Papers

2

Total Citations

30

H-Index

2

About

Lea Hehenberger is a pioneering researcher in the field of brain-computer interfaces (BCIs), with a primary focus on restoring motor function for individuals with spinal cord injury (SCI). Her work centers on developing non-invasive, EEG-based frameworks to decode goal-directed hand and arm movements, enabling intuitive control of neuroprostheses and robotic arms. Hehenberger’s major contribution lies in her continuous decoding of movement intention and error processing, a breakthrough that allows for real-time, kinesthetic feedback-informed artificial arm control. Her most-cited paper, "Feel Your Reach" (2022, 22 citations), synthesizes six years of ERC-funded research, establishing the foundational methodology for this technology. Earlier work, "Towards non-invasive brain-computer interface for hand/arm control in users with spinal cord injury" (2018, 8 citations), directly addresses the communication breakdown caused by SCI, offering a pathway to improved independence and quality of life. Hehenberger’s research is notable for its translational impact, bridging neural decoding with practical assistive devices, and her achievements underscore a commitment to advancing BCI technology from lab to real-world application.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Graz University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago