Iolanda Pisotta
Papers
14
Total Citations
406
H-Index
8
About
Iolanda Pisotta is a leading researcher in neurorehabilitation and assistive robotics, whose work bridges the gap between human physiology and robotic exoskeletons. Her primary research areas include electromyographic (EMG) pattern analysis, biofeedback for post-stroke gait rehabilitation, and brain-neural computer interfaces (BNCI) for spinal cord injury (SCI) subjects. Pisotta’s major contributions lie in understanding how robotic exoskeletons influence muscle activity and sensorimotor interactions during assisted walking. Her highly cited 2014 paper (146 citations) on EMG patterns during exoskeleton-assisted walking laid the groundwork for optimizing human-robot interaction. She further advanced the field by developing neuromuscular controllers for powered ankle exoskeletons, as seen in her 2020 work (55 citations), which demonstrated improved gait and clinical outcomes for incomplete SCI patients. Pisotta also pioneered the use of data-driven fuzzy logic methods for psychophysiological assessment during exoskeleton use (2024, 13 citations), highlighting her innovative approach to user experience. Her involvement in the MINDWALKER project (59 citations) underscores her commitment to creating crutch-less exoskeletons for SCI individuals. With over 400 total citations, Pisotta’s research continues to shape the future of personalized, adaptive robotic rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1EMG patterns during assisted walking in the exoskeleton146 citations · 2014
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- 5Hand-in-hand advances in biomedical engineering and sensorimotor restoration26 citations · 2015
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- 10Psychophysiological Assessment of Exoskeleton-Assisted Treadmill Walking6 citations · 2021