Browse the latest research summaries in the field of assistive technology for spinal cord injury patients and caregivers.
Showing 231-240 of 581 results
BMJ Open, 2020 • January 1, 2020
This qualitative study used photo-elicitation interviews to understand the factors that influence fall risk among wheelchair users with spinal cord injury (SCI). The findings indicate that fall risk i...
KEY FINDING: Falls among wheelchair users with SCI are caused by a combination of biological, behavioral, social, economic, and environmental factors, as well as factors related to the wheelchair itself.
Journal of NeuroEngineering and Rehabilitation, 2020 • February 13, 2020
This study investigated the use of a soft robotic glove (SEM Glove) for home-based hand rehabilitation in individuals with chronic spinal cord injury (SCI). The results showed significant improvements...
KEY FINDING: The TRI-HFT demonstrated improvement in hand function at Week 6 of the therapy including improvement in object manipulation.
Scientific Reports, 2020 • March 2, 2020
The study investigates the impact of spinal cord injury (SCI) on peripersonal space (PPS) representation, focusing on the roles of visual and motor feedback, and interoception. Using virtual reality, ...
KEY FINDING: In paraplegics, motor feedback is crucial for restoring PPS representation, regardless of whether it aligns with visual feedback.
Journal of NeuroEngineering and Rehabilitation, 2020 • March 9, 2020
This review examines FES systems for foot drop, focusing on control architecture and clinical effectiveness across common affected pathologies. It covers systems developed over the last two decades. T...
KEY FINDING: Systems capable of self-adjustment and closed-loop control are crucial for modulating assistance in individual conditions to adequately assist the patient.
Asian Spine J, 2020 • March 1, 2020
This letter addresses concerns raised about a study on virtual reality in balance training for spinal cord injury patients. The authors defend their original methodology, particularly the sample size ...
KEY FINDING: The original sample size calculations were correct, and the concerns raised by the reader were based on a misinterpretation.
Asian Spine Journal, 2020 • February 1, 2020
This is an erratum that corrects the headings of Fig. 1 in the original article, replacing them with “allocation,” “follow-up,” and “analysis.” The error occurred during the publishing process, and th...
KEY FINDING: This article does not present new key findings but corrects a figure in a previously published study.
Journal of NeuroEngineering and Rehabilitation, 2020 • March 18, 2020
The study introduces a novel Task-Adjustable Passive Orthosis (TAPO) for tremor suppression, featuring a lightweight, textile-based design with an integrated air-structure. The orthosis is manually ad...
KEY FINDING: The developed orthosis has a lightweight design (33 g) with emphasis on comfort and wearability.
Spinal Cord Series and Cases, 2020 • March 10, 2020
This case series examined how different WRE control modes influence lower extremity muscle synergies in individuals with iSCI during overground walking. The study compared trajectory-controlled (TOT, ...
KEY FINDING: Walking with a WRE in control modes allowing step variability (i.e., self-selected trajectory), and assisting L/E swing phase (i.e., HASSIST), best replicated MSs observed in able-bodied individuals during overground walking, while requiring light to moderate effort.
Annals of Rehabilitation Medicine, 2020 • April 1, 2020
The study aimed to compare the energy efficiency and patient satisfaction of KAFO-gait and ReWalk-gait in patients with spinal cord injuries. The results indicated that ReWalk-gait was more energy-eff...
KEY FINDING: ReWalk-assisted gait was more energy-efficient than KAFO-gait in both the 6-minute and 30-minute walking tests.
Muscle Nerve, 2020 • June 1, 2020
This review discusses peripheral nerve interfaces and brain-machine interfaces developed over the past 30 years for upper extremity control. It highlights the challenges in transitioning these technol...
KEY FINDING: Peripheral nerve interfaces and brain-machine interfaces share characteristics that allow for concurrent development.