Benett Blazevski

Queen's University

Papers

1

Total Citations

20

H-Index

1

About

Benett Blazevski is a researcher whose work bridges neuroscience and robotics to advance the assessment of sensorimotor function. His primary research areas include proprioception—the sense of body position and movement—and the development of robotic tools for neurological evaluation. Blazevski’s major contribution lies in demonstrating that robotic tests for position sense and movement discrimination in the upper limb are highly reproducible yet uncorrelated in healthy individuals, as shown in his 2020 study (20 citations). This finding underscores that these two aspects of proprioception are distinct, offering critical insights for designing targeted assessments for conditions like stroke. By leveraging robotic technologies, his work provides sensitive, objective measures that surpass traditional clinical evaluations, paving the way for more precise diagnosis and rehabilitation. Blazevski’s research has been cited in fields ranging from neurorehabilitation to human-robot interaction, highlighting its interdisciplinary impact. His achievements include advancing reproducible protocols that could transform how clinicians evaluate proprioceptive deficits, making his contributions vital for students and researchers exploring the intersection of robotics and neural recovery.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals
20 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Queen's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago