Mark R. Brinton

University of Utah

Papers

1

Total Citations

6

H-Index

1

About

Mark R. Brinton has carved a distinctive niche at the intersection of neural engineering and rehabilitation, focusing on how the brain adapts to—and struggles with—advanced prosthetic limbs. His primary research areas include cognitive workload quantification, upper-limb prosthesis usability, and the development of objective, physiological metrics for human-machine interaction. Brinton’s major contribution lies in demonstrating that physiological signals—such as electroencephalography (EEG) and eye-tracking data—can reliably measure the cognitive burden placed on prosthetic users, offering a more nuanced and user-centered alternative to traditional subjective surveys. His most cited work, “Improving Upper-limb Prosthesis Usability: Cognitive Workload Measures Quantify Task Difficulty” (2022, 6 citations), directly addresses the alarming 50% prosthesis abandonment rate by providing engineers and clinicians with quantifiable benchmarks for usability. By shifting the focus from mechanical function alone to the cognitive cost of operation, Brinton’s research not only advances the design of more intuitive prostheses but also lays the groundwork for evidence-based reimbursement policies. His work is particularly notable for bridging the gap between laboratory-based neural metrics and real-world clinical application, making him a key voice in the push for smarter, more adaptive assistive technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Improving Upper-limb Prosthesis Usability: Cognitive Workload Measures Quantify Task Difficulty
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Utah

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago