Michael Krams
Papers
2
Total Citations
180
H-Index
2
About
Michael Krams is a pioneering researcher at the intersection of neurology and biomedical engineering, whose work has fundamentally advanced how we measure and predict motor recovery after stroke. His key research areas include neurorehabilitation, biomarker development, and the application of robotics to clinical neurology. Krams’s major contribution lies in demonstrating that robotic devices can capture high-resolution kinematic and kinetic data from human movements, providing objective, quantifiable biomarkers of motor impairment. His landmark 2013 study (156 citations) established that robotic measurements collected longitudinally from stroke patients bear a significant relationship to standard clinical outcome scales, offering a more precise and sensitive tool for tracking recovery. Building on this, his 2021 work (24 citations) showed that robotic measures can accurately predict clinical stroke scales, directly addressing the challenge of subjectivity and variability introduced by human raters in clinical trials. By validating these objective, technology-driven endpoints, Krams has paved the way for more rigorous and reproducible clinical trials in stroke rehabilitation, offering hope for more effective therapies and personalized recovery trajectories.
Research Focus
Key Achievements
Top Papers
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