fNIRS-based control of robotic exosuits

Key Researchers: Lou Awad, Physical Therapy & Athletic Training, BU; Regina Sloutsky, BU; Ellie Ottman, BU; David Boas, BU; Meryem Ayşe Yücel, BU

Summary: Robotic Exosuit Augmented Locomotion (REAL) devices are textilebased, active assistive devices (i.e., soft robotic exosuits) that utilize functional apparel, cable-based power transmissions, and adaptive algorithms to provide gait-restorative assistance and rehabilitation after stroke. In this project, we aim to develop a fNIRS-based brain-machine interface that leverages real-time neuroimaging of the neuronal activity of the cortical areas responsible for executive control to individualize Robotic Exosuit Augmented Locomotion (REAL), optimize walking automaticity, and enhance motor learning.