Browse the latest research summaries in the field of assistive technology for spinal cord injury patients and caregivers.
Showing 271-280 of 581 results
Spinal Cord Series and Cases, 2021 • February 10, 2021
This pilot study explored the potential of exoskeletal-assisted walking (EAW) to improve seated balance in individuals with chronic motor complete spinal cord injury (SCI). Eight participants with SCI...
KEY FINDING: Seated balance significantly improved in total-direction endpoint excursion (EPE) after EAW training (P < 0.01).
Frontiers in Human Neuroscience, 2021 • February 26, 2021
This study investigated long-term BCI training for a tetraplegic pilot participating in the CYBATHLON BCI Race, focusing on inter-session transfer learning and intra-session adaptation. The results sh...
KEY FINDING: Regular BCI training over 14 months improved the pilot's ability to produce distinguishable brain patterns for different commands.
Journal of Orthopaedic Translation, 2021 • January 7, 2021
This review summarizes clinical trials on wearable robotic exoskeletons (WREs) for gait reconstruction in patients with spinal cord injury (SCI) published from 2015 to 2020. The review identifies the ...
KEY FINDING: T6 was the most frequently reported level of SCI among WRE users.
J Korean Med Sci, 2021 • March 29, 2021
This pilot study evaluated the effects of training with a newly developed powered wearable exoskeleton (H-MEX) on functional mobility, physiological health, and quality of life in non-ambulatory SCI p...
KEY FINDING: Participants significantly improved their walking distance in the 6-minute walking test (6MWT) after training with the H-MEX.
Journal of Clinical Medicine, 2021 • March 2, 2021
This study evaluated the impact of exoskeletal-assisted walking (EAW) on bowel function in individuals with spinal cord injury (SCI) compared to usual activity (UA). The study found some improvements ...
KEY FINDING: EAW reduced the amount of time needed for the bowel program in 24% of the participants.
Sensors, 2021 • March 23, 2021
This study investigates the use of a Body-Machine Interface (BoMI) to improve upper limb mobility in patients with cervical spinal cord injuries (cSCI), focusing on elbow movements. Five cSCI subjects...
KEY FINDING: At the end of the training, all subjects learned to efficiently use the interface despite being compelled by it to engage their most impaired movements.
Sensors, 2021 • March 16, 2021
This narrative review considers existing and emerging neural rehabilitation technologies through the perspective of replacing or restoring functions, enhancing, or improving natural neural output, as ...
KEY FINDING: Integrating AI with neural rehabilitation can be highly impactful by enabling family members and carers (non-technically trained) to alter the programming of neural rehabilitation robotic setups, to actively get involved and intervene promptly at the point of care.
Frontiers in Sports and Active Living, 2021 • March 26, 2021
This study used wearable sensors to examine arm use patterns in manual wheelchair users (MWC) and able-bodied controls, focusing on static and dynamic arm movements at different humeral elevation rang...
KEY FINDING: MWC users spent significantly more time dynamic in 60–90◦and 90–120◦on the dominant arm compared to controls.
Sensors, 2021 • April 13, 2021
This article presents a systematic review of wearable sensors and techniques used in real-time gait analysis, and their application to pathological gait. We found that heel strike and toe off are the ...
KEY FINDING: Heel strike and toe off are the most widely identified gait events, irrespective of the type of sensor used.
Frontiers in Robotics and AI, 2021 • April 27, 2021
This study presents a hybrid gait restoration system for individuals with SCI, combining implanted neural stimulation and a powered exoskeleton. The system uses a muscle-first approach, where the exos...
KEY FINDING: The addition of torque burst assistance from the exoskeleton resulted in an increase in gait speed for both SCI participants compared to passive or friction compensation modes.