Browse the latest research summaries in the field of assistive technology for spinal cord injury patients and caregivers.
Showing 301-310 of 581 results
NeuroRehabilitation, 2022 • January 1, 2022
This systematic review aimed to determine if cognitive measures are used as inclusion/exclusion criteria or outcome measures in robotic upper limb rehabilitation for stroke patients. The review of 81 ...
KEY FINDING: Seventy-three out of eighty-one studies used cognitive instruments for inclusion/exclusion criteria.
Medical Journal of the Islamic Republic of Iran, 2022 • December 14, 2022
This systematic review evaluates the effectiveness of assistive devices for SCI patients using the ICF model. The review found that while orthoses improve walking and standing, their impact on partici...
KEY FINDING: 70% of studies support the efficiency of orthoses in walking and standing of SCI patients.
Brain Sci., 2023 • January 3, 2023
This systematic review and meta-analysis aimed to determine the efficacy of robot-assisted gait training (RAGT) on balance rehabilitation in post-stroke survivors by analyzing randomized clinical tria...
KEY FINDING: The study found that the Berg Balance Scale (BBS) score improved more in patients treated with RAGT compared to conventional therapy, with a pMD of 2.17 (95% CI 0.79; 3.55).
Journal of NeuroEngineering and Rehabilitation, 2023 • January 10, 2023
This study introduces and validates the Berlin Bimanual Test for Tetraplegia (BeBiTT), a new clinical assessment tool designed to evaluate bimanual task performance in individuals with tetraplegia. Th...
KEY FINDING: The BeBiTT demonstrated excellent interrater reliability and internal consistency, indicating that it can reliably assess bimanual task performance.
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.
Biomimetics, 2023 • February 15, 2023
This study presents a soft robotic glove designed for hand rehabilitation in virtual reality (VR). The glove uses fifteen inertial measurement units (IMUs) for finger motion tracking and a motor-tendo...
KEY FINDING: Fifteen IMUs are used for finger motion tracking, and their data is processed using a static threshold correction method and complementary filter to calculate finger attitude angles.
Life, 2023 • January 17, 2023
This narrative review evaluated the combined effects of robot-assisted training (RAT) and antispasticity therapies on functional recovery and spasticity reduction in patients with upper motor neuron d...
KEY FINDING: Combined therapy improves functional recovery in the lower limbs.
Journal of NeuroEngineering and Rehabilitation, 2023 • January 1, 2023
The Mobile Robotic Balance Assistant (MRBA) is a novel device combining gait assistance and wheelchair functionalities for home and community use. MRBA uses a pelvic interface to support users during ...
KEY FINDING: Healthy subjects walking with MRBA exhibited a lower speed, smaller step length, and longer step time compared to free walking.
Frontiers in Neurology, 2023 • February 17, 2023
This review summarizes the application of orthotic devices for stroke and spinal cord injury since 2013, covering conventional and new types of orthotics for both upper and lower limbs. The paper high...
KEY FINDING: Conventional orthotic devices are widely used and can effectively improve motor function in stroke and spinal cord injury patients.
Sensors, 2023 • February 23, 2023
This paper presents an Assist-as-Needed (AAN) algorithm for controlling an exoskeleton designed for elbow rehabilitation. The algorithm uses FSR sensors and machine learning to personalize assistance....
KEY FINDING: The study provides patients with real-time, visual feedback on their progress by combining range of motion and FSR data to quantify disability levels.