Lisa Maria DiSalvo
Papers
1
Total Citations
1
H-Index
1
About
Lisa Maria DiSalvo is a rising leader in wearable robotics and rehabilitation engineering, with a focused commitment to restoring hand function for stroke survivors. Her research lies at the critical intersection of soft sensing, biomechanics, and human-machine interaction, where she pioneers novel methods to capture intrinsic hand muscle activity. Her most-cited work, "Fabric Sensing of Intrinsic Hand Muscle Activity" (2025), introduces a transformative approach to controlling wearable assistive devices. By developing fabric-based sensors that can detect subtle signals from the hand’s small, intrinsic muscles—rather than relying solely on forearm-based surface electromyography (sEMG)—DiSalvo addresses a fundamental limitation in current prosthetic and rehabilitation technology. This innovation promises more intuitive, responsive control for users, potentially improving functional outcomes in daily tasks. Though early in her career, her work has already garnered attention for its potential to make assistive devices less obtrusive and more effective. DiSalvo’s contributions are paving the way for a new generation of soft, sensor-rich wearables that could profoundly impact neurorehabilitation and quality of life for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1Fabric Sensing of Intrinsic Hand Muscle Activity1 citations · 2025