Browse the latest research summaries in the field of assistive technology for spinal cord injury patients and caregivers.
Showing 511-520 of 581 results
Top Spinal Cord Inj Rehabil, 2019 • May 1, 2019
This pilot project was to develop a training paradigm that would evaluate and improve the efficiency and biomechanics of wheelchair propulsion in youth with SCI by integrating real-time feedback from ...
KEY FINDING: Significant improvements were found for SmartWheel metrics of peak backwards force that improved from -3.08 Newtons (N) ± 2.1 pre training to -2.37 N ± 1.9 (p = .041) post training
Turkish Journal of Medical Sciences, 2019 • June 18, 2019
This study aimed to determine the effects of robotic-assisted gait training (RAGT) on ambulation and functional capacity in patients with spinal cord injury (SCI). The study found that RAGT combined w...
KEY FINDING: Both groups showed significant improvements in WISCI-II and FIM scores after rehabilitation.
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.
Conf Proc IEEE Eng Med Biol Soc, 2011 • January 1, 2011
The study compared robot-driven epidural stimulation with conventional stimulation in spinalized rats using a trunk-based neurorobotic system. The results indicated that robot-driven stimulation led t...
KEY FINDING: Robot-driven epidural stimulation led to significantly greater improvements in AOB scores compared to conventional stimulation and control groups.
IEEE Int Conf Rehabil Robot, 2011 • January 1, 2011
This paper introduces a powered lower limb orthosis designed to aid walking in paraplegic individuals by providing assistive torques at the hip and knee joints, controlled via upper-body movements. Ex...
KEY FINDING: The powered orthosis and control system can effectively provide walking within parallel bars.
Journal of Rehabilitation and Assistive Technologies Engineering, 2016 • January 1, 2016
The study investigates the differences in manual wheelchair propulsion techniques between expert and novice users during over-ground tasks, focusing on kinetics, kinematics, and muscle activity. Exper...
KEY FINDING: Experts required fewer pushes on level and cross-slope tasks, applying similar push rim moment over a greater push arc with lower muscle activity.
BMC Neurology, 2019 • June 6, 2019
The study demonstrated that EMG-biofeedback RABWSTT enhanced the walking performance for SCI subjects and improve cardiopulmonary function. Positive outcomes reflect that RABSTT training may be able t...
KEY FINDING: Significant time-group interaction was found in the Walking Index for Spinal Cord Injury version II (WISCI II).
Spinal Cord Series and Cases, 2019 • May 1, 2019
This study explored the impact of robotic training on upper limb function, ADL, and training experience in subacute tetraplegic inpatients using a single-subject design. The results showed that most p...
KEY FINDING: All of the participants exhibited an increase in assessments of upper limb function (GRASSP-total) right side (0.4%–61.2%), and all except for one participant (−8%) showed an increase on their left side (20.9%–106.2%).
Spinal Cord Series and Cases, 2019 • March 17, 2019
Abdominal compression improves respiratory function and supports SBP in individuals with chronic SCI. The study found barriers to the adoption and use of certain styles of abdominal compression, notin...
KEY FINDING: The use of a personal binder results in significant increases in SBP and FEV1.
PLoS ONE, 2019 • June 28, 2019
This paper describes a method used to gather information on the needs of assistive devices from potential users with SCI, clinicians, and existing research. The study identified 29 requirements for ne...
KEY FINDING: The study identified 29 requirements for assistive technologies, categorized into performance, personalization, interoperability, usability, and physiology.