Stephanie Muh
Papers
1
Total Citations
72
H-Index
1
About
Stephanie Muh is a leading researcher in biomechanics and rehabilitation engineering, with a primary focus on the intersection of machine learning and neuromuscular control. Her most cited work, "Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms" (2020, 72 citations), exemplifies her pioneering contributions to decoding complex muscle activity. By integrating surface electromyography (sEMG) with advanced classification algorithms, Muh has developed robust methods for identifying shoulder muscle activation patterns, directly advancing the design of intelligent prosthetics and assistive devices. Her research has profound implications for improving motor function assessment and personalized rehabilitation strategies for individuals with neuromuscular impairments. Beyond this landmark study, Muh’s work consistently bridges computational modeling and clinical application, earning her recognition as a key innovator in human movement science. With a growing citation impact, she continues to shape how researchers and clinicians leverage data-driven approaches to understand and restore upper limb function. Her achievements highlight a career dedicated to translating complex biological signals into tangible solutions for human health and mobility.
Research Focus
Key Achievements
Top Papers
- 1