Browse the latest research summaries in the field of assistive technology for spinal cord injury patients and caregivers.
Showing 311-320 of 581 results
J. Funct. Morphol. Kinesiol., 2023 • February 27, 2023
This case report describes the use of robot-assisted ankle training (HAL-T) in a patient with incomplete spinal cord injury to improve ankle joint function. The HAL-T intervention consisted of a combi...
KEY FINDING: Phasic electromyographic activity was developed in the left tibialis anterior muscle during plantar dorsiflexion of the ankle joint after the intervention.
Annals of Indian Academy of Neurology, 2023 • November 21, 2022
This pilot study aimed to assess the safety and feasibility of robotic gait training and its’ effects on gait parameters in individuals with incomplete motor spinal cord injury‑SCI (AIS C and AIS D). ...
KEY FINDING: Participants in G1 were able to complete the 10MWT, 6MWT, and TUG, and the mean (SD) scores were 0.2 m/s (0.2), 66.3 m (61.2) and 113.3 s (117.4), respectively.
IEEE Trans Neural Syst Rehabil Eng, 2023 • June 8, 2023
This study developed a data-driven trajectory optimization method for reaching motions that accounts for person-specific muscle weakness and loss of function in individuals with SCI. The method involv...
KEY FINDING: Trajectory optimization improved the ability to reach targets compared to naive direct-to-target paths.
Wearable Technologies, 2021 • January 1, 2021
This paper introduces a soft, tendon-driven robotic glove designed to augment grasp capability for individuals with spinal cord injuries. The glove uses an underactuation approach based on postural sy...
KEY FINDING: The synergy-based actuation strategy results in only slight alterations to the distribution of forces across the fingers, compared to a natural, unassisted grasping pattern.
Wearable Technologies, 2022 • December 1, 2022
The study addresses the problem of posture estimation errors in wearable robots due to the compliance of the human-robot interface. A novel algorithm is presented that uses machine learning to correct...
KEY FINDING: The algorithm reduced the estimated thigh segment’s angle RMS error from 6.3° to 2.5°.
BMJ Open, 2025 • March 14, 2025
This study used a participatory design approach to identify potential challenges and solutions for implementing a functional electrical stimulation with visual feedback balance training (FES+VFBT) sys...
KEY FINDING: End-users identified challenges such as lack of knowledge about the system, safety concerns, technical difficulties, cost, limited time and space, and suggested solutions at different levels.
Journal of NeuroEngineering and Rehabilitation, 2010 • May 21, 2010
This study introduces and evaluates a novel mechanomyogram (MMG)-driven switch controlled by small eyebrow movements for computer access, especially targeting individuals with severe physical disabili...
KEY FINDING: The MMG-driven switch achieved an average sensitivity of 99.7 ± 0.4% and specificity of 99.9 ± 0.1%.
Frontiers in Human Neuroscience, 2014 • June 16, 2014
The study investigated muscle activation patterns during exoskeleton-assisted walking in healthy individuals and SCI patients, revealing a non-linear reorganization of locomotor output. Contrary to ex...
KEY FINDING: In neurologically intact subjects, EMG activity of leg muscles was similar or even larger during exoskeleton-assisted walking compared to normal overground walking.
The Journal of Spinal Cord Medicine, 2014 • January 1, 2014
The study aimed to determine if individuals with SCI use prescribed wheelchair cushions when traveling in motor vehicles or on commercial airlines. The survey revealed that most participants do not us...
KEY FINDING: Almost all participants used prescribed wheelchair cushions in their wheelchairs.
The Journal of Spinal Cord Medicine, 2017 • May 1, 2017
This pilot study investigated the effectiveness of a motor learning-based wheelchair training program for new manual wheelchair users with SCI. The training program resulted in changes in propulsion p...
KEY FINDING: The training led to significant changes in the area of the push loop, indicating that participants were bringing their hands down toward the axles of their wheelchairs during propulsion.