Michael D. Paskett

University of Utah

Papers

1

Total Citations

6

H-Index

1

About

Michael D. Paskett is a researcher at the forefront of improving upper-limb prosthesis usability, with a focus on reducing the alarmingly high abandonment rates that plague current prosthetic systems. His work centers on quantifying cognitive workload and task difficulty through physiological and behavioral metrics, including electroencephalography (EEG), electrooculography (EOG), and eye tracking. By providing objective, user-focused measures, Paskett aims to accelerate clinical adoption and cost reimbursement for advanced prosthetics. His most cited paper (2022, 6 citations) demonstrates a novel approach to evaluating prosthesis usability, moving beyond subjective assessments to capture real-time cognitive demands. This research has the potential to transform how prosthetic devices are designed and prescribed, directly addressing the needs of amputees. Paskett’s contributions are particularly notable for bridging neuroscience and rehabilitation engineering, offering a path toward more intuitive and effective prosthetic control. His work stands as a critical step in making advanced prosthetics not just technologically impressive, but genuinely usable in daily life.

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 · 11 days ago