Browse the latest research summaries in the field of rehabilitation technology for spinal cord injury patients and caregivers.
Showing 1-6 of 6 results
Front. Rehabil. Sci., 2023 • January 30, 2023
This study investigated the effects of Robotic Locomotor Training (RLT) and Activity-Based Training (ABT) on spasticity, pain, and quality of life (QoL) in individuals with chronic Spinal Cord Injury ...
KEY FINDING: Neither robotic locomotor training (RLT) nor activity-based training (ABT) significantly altered symptoms of spasticity in individuals with chronic SCI.
Spinal Cord Series and Cases, 2021 • February 10, 2021
This feasibility study investigated the use of egocentric video to capture hand use of individuals with SCI in their homes. Participants wore cameras to record ADLs, and the data was analyzed for hand...
KEY FINDING: Capturing activities of daily living (ADLs) using an egocentric camera in the home environment after SCI is feasible.
The Journal of Spinal Cord Medicine, 2018 • January 1, 2018
This systematic review assessed the effects of robotic assisted gait training (RAGT) on temporal-spatial characteristics in individuals with spinal cord injuries (SCI). It aimed to determine if overgr...
KEY FINDING: The use of treadmill or overground based RAGT did not result in an increase in walking speed beyond that of conventional gait training.
Curr Phys Med Rehabil Rep., 2019 • September 1, 2019
Body-worn sensors can accurately measure physical activity in free-living environments, potentially enhancing the understanding of barriers to adequate activity and identifying effective interventions...
KEY FINDING: Distance traveled is ranked as the most important outcome measure to quantify with sensors when working with individuals in manual wheelchairs.
Journal of NeuroEngineering and Rehabilitation, 2015 • September 3, 2015
This review focuses on spinal plasticity induced by robotic-mediated therapy in humans, particularly in the lower limbs of patients with spinal cord injury (SCI) or stroke. It highlights the potential...
KEY FINDING: BWS robotic-assisted step training can lead to changes in spinal reflex pathways in patients with SCI or stroke, including re-emergence of physiological phase modulation.
Journal of Rehabilitation and Assistive Technologies Engineering, 2018 • January 11, 2018
This study explores the use of wearable textile sensors for gesture recognition in individuals with upper-extremity mobility impairments, focusing on environmental control applications. The results in...
KEY FINDING: Personalization is crucial; sensor hardware, gesture sets, and recognition algorithms must be tailored to the individual's specific needs and injury level.