Markus Lueken
Papers
2
Total Citations
43
H-Index
2
About
Markus Lueken is a biomedical engineer whose research lies at the intersection of wearable sensor technology and robot-assisted rehabilitation. His primary focus is on advancing the detection and quantification of muscle activity to improve therapeutic outcomes for patients with neurological impairments. Lueken’s most notable contribution is the development of a novel, wearable multi-frequency device that simultaneously measures electromyography (EMG) and electrical impedance myography (EIM). This work, published in 2022 and already garnering 37 citations, directly addresses the limitations of traditional surface EMG in predicting muscle force—a critical challenge for responsive rehabilitation robotics. By fusing these two modalities, Lueken provides a more robust method for estimating muscle contraction. His earlier work on classifying spasticity-affected EMG signals (2015) laid the groundwork for this innovation, applying signal processing to better understand muscle dysfunction following central nervous system injuries like stroke. Through his research, Lueken is helping to create smarter, more adaptive rehabilitation systems that can sense and respond to a patient’s physiological state in real time.
Research Focus
Key Achievements
Top Papers
- 1
- 2Classification of spasticity affected EMG-signals6 citations · 2015