Marshall K. Ishmael

University of Utah

Papers

1

Total Citations

24

H-Index

1

About

Marshall K. Ishmael is a leading researcher in the fields of rehabilitation robotics, human-machine interaction, and neuromuscular control. His work focuses on developing advanced control algorithms for robotic exoskeletons, particularly those that use electromyography (EMG) to estimate and assist with human joint torque during locomotion. Ishmael’s major contribution lies in demonstrating that EMG-based torque predictions remain robust across varying levels of exoskeleton assistance, even when the nervous system non-linearly reorganizes locomotor output—a critical insight for real-world applications. His most-cited paper (2021, 24 citations) provides foundational evidence for this approach, showing that EMG control can reliably adapt to changing assistance levels. This work has significant implications for designing intuitive, responsive exoskeletons for rehabilitation and mobility assistance. Ishmael’s research bridges neurophysiology and engineering, offering practical solutions for restoring movement in individuals with gait impairments. His achievements highlight the potential of bio-inspired control systems to enhance human performance and recovery.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robust Torque Predictions From Electromyography Across Multiple Levels of Active Exoskeleton Assistance Despite Non-linear Reorganization of Locomotor Output
24 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Utah

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago