Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 91-100 of 296 results
Dose-Response: An International Journal, 2022 • October 1, 2022
This study used iTRAQ proteomics to investigate the molecular mechanisms of hyperbaric oxygen therapy (HBOT) in a rat model of spinal cord injury (SCI). The study identified differentially expressed p...
KEY FINDING: HBOT influences biological processes such as oxygen transport, gas transport and regulation of T cell proliferation.
J. Funct. Morphol. Kinesiol., 2023 • December 22, 2022
This study investigates how constraint-induced movement therapy (CIMT) helps patients with spinal cord injuries find new movement solutions using a dynamical systems approach. The researchers analyzed...
KEY FINDING: Individuals modulated foot height to accomplish the task.
Journal of Personalized Medicine, 2020 • October 21, 2020
This study used a proteomic approach to identify biomarkers in blood plasma that could predict the response of patients with incomplete chronic traumatic spinal cord injury (SCI) to growth hormone (GH...
KEY FINDING: The combined treatment of GH plus rehabilitation is feasible and safe, and that GH but not placebo slightly improves the SCI individual motor score.
Spinal Cord, 2020 • April 8, 2020
This correction pertains to an error in a previously published article concerning the classification of participants with spinal cord injuries as either paraplegia or tetraplegia. The errors were pres...
KEY FINDING: The correction addresses an error in the naming of paraplegia and tetraplegia groups.
Biometrics, 2021 • June 1, 2021
The study proposes an adaptive method that tailors spinal cord stimulation devices to individual patient preferences. Batch Bayesian Optimization is used to balance exploration of the device configura...
KEY FINDING: Batch Bayesian optimization can be used to efficiently identify device configurations for long-term use with near-best patient preference.
Entropy, 2023 • February 2, 2023
This study explores the nature of information on heart rate variability (HRV) provided by Distribution Entropy (DistEn) compared to Sample Entropy (SampEn) and Fuzzy Entropy (FuzzyEn) over multiple sc...
KEY FINDING: DistEn is affected by spinal cord lesions but not by postural changes, suggesting it measures cardiovascular complexity.
IEEE Trans Neural Syst Rehabil Eng, 2022 • February 15, 2022
This study investigates methods to enhance reinforcement learning (RL) controllers for functional electrical stimulation (FES) of a human arm model, focusing on improving learning rates, accuracies, a...
KEY FINDING: Curriculum learning improved the number of small targets acquired by as much as 50%.
International Journal of Environmental Research and Public Health, 2020 • January 24, 2020
The paper introduces a concept for using big data analytics and sensor-enhanced activity management (SEAM) to improve outpatient medical rehabilitation. The proposed system aims to collect and analyze...
KEY FINDING: The project proposes a sensor-enhanced activity management (SEAM) approach, enabled by big data analytics (BDA), to improve outpatient rehabilitation effectiveness and efficiency for patients with neurological impairments.
IEEE Trans Neural Syst Rehabil Eng, 2021 • January 1, 2021
The paper introduces an FES controller that works across a wide repertoire of movements by using methods of training that are quick and automatic. The controller takes, as inputs, the goal state of th...
KEY FINDING: Controllers trained using HER are more likely to learn to control the arm model within the specified training time.
Journal of Clinical Orthopaedics and Trauma, 2022 • October 20, 2022
This review demonstrates ML contributions toward 1) diagnostic accuracy with advances in MRI segmentation and classification 2) acute blood pressure management for optimizing functional AISIA classifi...
KEY FINDING: Machine learning shows promise in improving diagnostic accuracy through advances in MRI segmentation and classification.