Mascha Pauelsen
Papers
2
Total Citations
16
H-Index
2
About
Mascha Pauelsen is a researcher specializing in biomechatronics and neuromuscular control, with a primary focus on electromyography (EMG)-based estimation and control of human joint movements. Her work bridges the gap between biological signal processing and robotic systems, particularly for applications in prosthetics, rehabilitation, and biologically inspired robotics. In her most-cited study (2016, 9 citations), she developed a method to estimate elbow joint angles using integrated surface EMG signals, offering a bio-inspired approach for controlling robotic limbs. Her subsequent work (2016, 7 citations) extended this methodology to the ankle joint, establishing a novel musculoskeletal model for antagonistic muscle pairs and demonstrating real-time control of a robotic leg. These contributions are foundational for advancing non-invasive human-machine interfaces, with potential impacts on physiotherapy and assistive device design. Pauelsen’s research is notable for its practical integration of EMG signal processing with dynamic joint modeling, providing a framework for more intuitive and responsive prosthetic and exoskeleton control. Her work continues to influence the development of EMG-driven robotic systems, making her a key figure in the field of neuromuscular engineering.
Research Focus
Key Achievements
Top Papers
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