Neural Investigation of Exoskeleton-Assisted Walking

Presenter

Molly Grace Fabrizio

Group Members

Aaryan Chaudhary

Campus

UMass Amherst

Sponsor

Meghan Huber, Department of Mechanical and Industrial Engineering, UMass Amherst

Schedule

Session 2, 11:30 AM - 12:15 PM [Schedule by Time][Poster Grid for Time/Location]

Location

Poster Board A58, Campus Center Auditorium, Row 3 (A41-A60) [Poster Location Map]

Abstract

Robotic exoskeletons can enhance walking efficiency and show potential when used as an assistive device, especially for those with gait impairments. However, most studies are limited to single session experiments conducted in laboratory settings, neglecting a crucial element of motor adaptation. A recent study highlighted the importance of training to maximize the benefits seen when using an exoskeleton. Therefore, understanding the learning process of the human nervous system is important when developing robotic exoskeletons that will maximize metabolic benefits.

This study intends to deepen understanding of the learning process associated with exoskeleton use through examining users’ metabolic expenditure and neural effort. Participants of this study are young adults without gait impairments. They will use a robotic hip exoskeleton that applies torque to assist hip flexion for three practice sessions (one per day, with up to three days between sessions).

Neural effort, determined by cortical activation is measured using functional near infrared spectroscopy (fNIRS) before and after practice sessions, as well as one week afterwards to assess retention. Prefrontal cortical activation, associated with conscious effort, is expected to decrease, while premotor cortical activation linked to automatic movements is expected to increase with practice. Metabolic effort, quantified by indirect calorimetry, will be measured throughout the training sessions and after one week; it is expected to decrease with practice.

The study results will advance our fundamental understanding of how humans learn to walk with gait-assistive exoskeletons, as well as provide insights into factors influencing learning and potential strategies for expediting the process.

Keywords

Hip Exoskeleton , metabolic benefits, function near infrared spectroscopy (fNIRS), learning process

Research Area

Engineering

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