Enhancing Fall Risk Assessment: Instrumenting Vision with Deep Learning During Walks

Introduction Fall events are common across various clinical populations, with usual risk assessments including visual observation of individual gait. However, gait observation assessments are typically confined to laboratory settings, involving standardized walking protocol tests to identify potential defects that might increase fall risk. Subtle d...

Automatic Gait Events Detection with Inertial Measurement Units: Healthy Subjects and Moderate to Severe Impaired Patients

A New Method for Automatic Gait Event Detection: Analysis of Inertial Measurement Units in Healthy Subjects and Patients with Moderate to Severe Impairment Cyril Voisard, Nicolas de L’Escalopier, Damien Ricard, Laurent Oudre. Journal of NeuroEngineering and Rehabilitation (2024) 21:104 https://doi.org/10.1186/s12984-024-01405-x Background of the St...

The Ankle Dorsiflexion Kinetics Demand to Increase Swing Phase Foot-Ground Clearance: Implications for Assistive Device Design and Energy Demands

Research Report Background Introduction With an aging population and the increase in neurological and muscular diseases such as stroke, the risk of tripping and falling due to gait disorders has become a serious problem. Research shows that ankle dorsiflexion is crucial for ensuring foot clearance during the swing phase of gait. However, there is l...

Wearable Biofeedback Device to Assess Gait Features and Improve Gait Pattern in People with Parkinson’s Disease: A Case Series

Wearable Biofeedback Device to Assess Gait Features and Improve Gait Pattern in People with Parkinson’s Disease: A Case Series

Application of Wearable Biofeedback Device in Gait Assessment for Parkinson’s Disease Patients: A Case Series Study Research Background Patients with Parkinson’s Disease (PD) often exhibit abnormal gait patterns, severely affecting their independence and quality of life. Gait abnormalities primarily manifest as reduced stride length, increased step...

Nanoligomers Targeting NF-κB and NLRP3 Reduce Neuroinflammation and Improve Cognitive Function with Aging and Tauopathy

Nanopolymer Targeting NF-κB and NLRP3 Reduces Neuroinflammation and Enhances Cognitive Function in Aging and Tauopathy Research Background Aging is a major risk factor for cognitive decline and most neurodegenerative diseases, such as Alzheimer’s disease (AD). These cognitive declines are closely related to the pathological aggregation of Tau prote...

Differential Training Benefits and Motor Unit Remodeling in Wrist Force Precision Tasks Following High and Low Load Blood Flow Restriction Exercises Under Volume-Matched Conditions

Differential Training Benefits and Motor Unit Remodeling in Wrist Force Precision Tasks Following High and Low Load Blood Flow Restriction Exercises Under Volume-Matched Conditions

Study on the Differential Effects of Blood Flow Restriction Training on Strength Gains and Precise Force Control Research Background Blood Flow Restriction (BFR) training, an emerging method for enhancing muscle strength, has garnered attention from researchers and clinical medicine in recent years. BFR training with low-load resistance exercise en...

Ferroptosis Inhibitor Improves Outcome After Early and Delayed Treatment in Mild Spinal Cord Injury

Ferroptosis Inhibitors Improve Early and Delayed Treatment Outcomes of Mild Spinal Cord Injury Academic Background Spinal cord injury (SCI) causes significant secondary damage not only in the acute period but also in the chronic period. These injuries are typically triggered by multiple factors, including oxidative stress, inflammatory response, an...

Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice

Innovative Fusion in Neuron Classification: Shared Information from Human and Mouse Electrophysiological Data The scientific community has long faced significant challenges in neuron classification. Accurate classification of neurons is crucial for understanding brain function in both healthy and diseased states. This study, led by Ofek Ophir, Orit...

Introduction to Cadence: A Neuroinformatics Tool for Supervised Calcium Events Detection

A New Breakthrough in Neuroinformatics: Research Report on Cadence Tool for Calcium Event Detection Background Introduction Calcium imaging technology has revolutionized the study of neuron ensembles, providing researchers with a powerful tool to simultaneously visualize and monitor multiple neuronal activities. Calcium imaging utilizes fluorescent...

A Bayesian Multiplex Graph Classifier of Functional Brain Connectivity Across Diverse Tasks of Cognitive Control

Functional Brain Connectivity Research Using Bayesian Multiplex Graph Classifier Research Background and Problem Statement In recent years, research on cognitive control in the elderly has garnered increasing attention, especially against the backdrop of accelerating population aging. Understanding cognitive functions in the elderly becomes particu...