Browse the latest research summaries in the field of assistive technology for spinal cord injury patients and caregivers.
Showing 561-570 of 583 results
Spinal Cord Series and Cases, 2016 • January 7, 2016
This case report highlights the successful prosthetic rehabilitation of a 55-year-old man with incomplete spinal cord injury (SCI) and a transtibial amputation. The patient, a former community ambulat...
KEY FINDING: A patient with both spinal cord injury and amputation can achieve successful prosthetic rehabilitation with appropriate assessment and prescription.
BioMed Research International, 2014 • May 29, 2014
This paper presents a novel balance training platform which combines a CDP device made from low-cost interfaces, such as the Nintendo Wii Balance Board and the Microsoft Kinect. In addition, it integr...
KEY FINDING: The platform combines a CDP device with low-cost interfaces, such as the Nintendo Wii Balance Board and the Microsoft Kinect.
African Health Sciences, 2016 • December 1, 2016
The study assessed the satisfaction of users with locally manufactured wheelchairs in Tanzania, focusing on activity and participation needs, as well as the provision, repair, and maintenance services...
KEY FINDING: More than 90% of participants reported that their wheelchairs positively influenced their activity and participation needs.
J Spinal Cord Med, 2007 • January 1, 2007
This study validated three clinical measures of reach—functional reach (FR), reach area (RA), and bilateral reach (BR)—against the performance of ADL tasks in individuals with spinal cord injury. The ...
KEY FINDING: Injury level was a significant predictor of success in performing ADL tasks.
PLoS Biology, 2018 • May 10, 2018
This study investigates the hypothesis that mutual learning is a critical underlying factor for the success of MI BCI in translational applications. The main contribution of this work is the provision...
KEY FINDING: The study demonstrated strong and continuous learning effects at all levels (machine, subject, application) for both end-users over several months.
Frontiers in Robotics and AI, 2018 • October 22, 2018
The study introduces an adaptive hybrid joint/end-point impedance controller for lower limb exoskeletons, aiming to combine the advantages of both joint and end-point space control methods for more ef...
KEY FINDING: The hybrid controller is a feasible approach for exoskeleton devices, combining the benefits of end-point control in shaping desired stiffness and joint control to promote correct angular changes.
Arch Phys Med Rehabil, 2017 • October 1, 2017
The study quantified and compared spinal curvature and scapulothoracic and glenohumeral kinematics throughout the MWC propulsion cycle while individuals with SCI were seated at 2 different seat dump a...
KEY FINDING: Participants had significantly less lordosis in the 14° condition for all propulsion events.
Frontiers in Robotics and AI, 2019 • August 21, 2019
This study investigated the impact of modulated task difficulty on learning a complex motor task using a rowing simulator. The experimental group, training with variable water density, showed potentia...
KEY FINDING: Both groups reduced error and variability, but the experimental group showed potential benefits for spatial consistency and velocity accuracy.
Med Eng Phys, 2014 • July 1, 2014
This study presents a different strategy from the SFS method to reduce the number of channels used in high-density surface EMG recordings, toward developing a practical myoelectric control system. The...
KEY FINDING: Appropriate selection of a small number of raw EMG features from different recording channels resulted in similar high classification accuracies as achieved by using all the EMG channels or features.
Conf Proc IEEE Eng Med Biol Soc, 2011 • August 1, 2011
This study explores the use of machine-learning techniques, specifically artificial neural networks (ANN), to develop an intelligent model for determining favorable wheelchair tilt and recline angles ...
KEY FINDING: Traditional statistical analysis of skin blood flow response to wheelchair tilt and recline usage is not satisfying, with a classification accuracy rate of only 59.38%.