Browse the latest research summaries in the field of biomedical for spinal cord injury patients and caregivers.
Showing 31-40 of 850 results
Journal of Nanobiotechnology, 2025 • January 1, 2025
The study presents LNT M2/PTX-NPs@Gel as an effective treatment for SCI, demonstrating significant improvements in neurological function recovery. The treatment modulates the inflammatory microenviron...
KEY FINDING: LNT M2/PTX-NPs@Gel treatment significantly improved motor function recovery in SCI rats, as evidenced by increased BBB scores and MEP amplitudes.
ACS Nano, 2025 • January 31, 2025
This paper presents a wearable, multimodal nanomembrane sensor-integrated glove and a tactile feedback system designed to aid in the rehabilitation of upper-limb sensory impairments in TSCI patients. ...
KEY FINDING: The wearable system achieves high accuracy in detecting pressure (98%) and finger flexion (97%), demonstrating its potential as an effective rehabilitation tool.
Frontiers in Neuroscience, 2025 • January 24, 2025
This study proposes a multimodal fusion method for detecting sitting and standing intentions based on EEG–EMG functional connectivity, utilizing signals recorded prior to movement execution. The resul...
KEY FINDING: The MI-based EEG–EMG network showed the highest decoding performance (94.33%), outperforming both EEG (73.89%) and EMG (89.16%).
Sensors, 2025 • January 21, 2025
This paper presents NeuroFlex, an EEG-based MI control system that controls a soft robotic glove for hand rehabilitation. NeuroFlex uses EEG data to interpret motor intent, converting them into real-t...
KEY FINDING: The accuracy of decoding the intent of fingers making a fist from MI EEG can reach up to 85.3%, with an average AUC of 0.88.
Nature Communications, 2025 • February 6, 2025
The study introduces a nanotwinned alloy strategy using high-pressure solid solution and Joule-heating treatment to improve sodium deposition dynamics in sodium metal batteries. The resulting nanotwin...
KEY FINDING: High-pressure solid solution extends Si solubility in Al, forming nanotwinned-Si particles through Joule-heating treatment.
Scientific Reports, 2025 • February 20, 2025
This study compared textile electrodes embedded in garments to self-adhesive hydrogel electrodes for neuromuscular electrical stimulation, focusing on comfort, temporal consistency, efficiency, and el...
KEY FINDING: No significant difference was found between textile electrodes with lotion and hydrogel electrodes in terms of comfort (burning sensation intensity and maximum tolerable intensity).
Journal of NeuroEngineering and Rehabilitation, 2025 • January 30, 2025
The study assessed the efficacy of SDSS compared to SES at moderate and high electrical stimulation intensities, focusing on time to fatigue (TTF), maximum produced force (MPF), and average produced f...
KEY FINDING: The advantages of SDSS over SES in reducing muscle fatigue and enhancing force generation were significantly diminished at high intensity compared to moderate intensity.
Materials Today Bio, 2025 • February 28, 2025
The study introduces a novel acrylated PEGylated poly(glycerol succinate) (APPGS) hydrogel for treating spinal cord injury (SCI) by targeting mitochondrial function. APPGS hydrogel exhibited enhanced ...
KEY FINDING: The APPGS hydrogel was successfully prepared and characterized, exhibiting suitable mechanical, physical, and chemical properties for biomedical applications.
Journal of Rehabilitation and Assistive Technologies Engineering, 2025 • March 10, 2025
The study evaluated the Advanced MLRGO's performance against Prime-Walk and standard MLRGO models, focusing on walking speed, travel distance, and donning/doffing times in individuals with thoracic SC...
KEY FINDING: The Advanced MLRGO significantly improved walking speed compared to the standard MLRGO (p = 0.033), indicating a 50.7% increase.
J Electromyogr Kinesiol, 2022 • February 1, 2022
This study developed and validated a neural network model to classify manual wheelchair (MWC) users' activities using a single upper arm inertial measurement unit (IMU). The model demonstrated high ac...
KEY FINDING: The neural network model achieved high validity in the lab, with measures ≥0.87 for differentiating between non-propulsion activity, propulsion, and static time.