Influence of Virtual Reality and Task Complexity on Digital Health Metrics Assessing Upper Limb Function

Information Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Medical Imaging,
Virtual Reality   Task Complexity   Digital Health Metrics   Upper Limb Function   Multiple Sclerosis   Clinical Study  

A Study Report on the Impact of Task Complexity on Digital Health Metrics Evaluation of Upper Limb Function Research Background In patients with neurological diseases such as multiple sclerosis (PWMS), the prevalent upper limb dysfunction significantly affects the completion of daily living activities, increasing dependence on caregivers. To enhanc...

Exoskeleton Rehabilitation Robot Training for Balance and Lower Limb Function in Sub-Acute Stroke Patients: A Pilot, Randomized Controlled Trial

Information Science, Artificial Intelligence, Medicine, Orthopedics, Neurology, Life Sciences, Bioengineering,
rehabilitation robot   stroke   balance function   lower limb function  

The Impact of Exoskeleton Rehabilitation Robot Training on Balance and Lower Limb Function in Subacute Stroke Patients: A Preliminary, Randomized Controlled Trial Research Background and Purpose Stroke is a leading cause of death and disability worldwide. With the rapid development of stroke treatment technology, the mortality rate of stroke has si...

Robot-aided assessment and associated brain lesions of impaired ankle proprioception in chronic stroke

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering,
motion sense   psychometrics   proprioception   robotics   stroke  

Robot-Assisted Assessment of Chronic Stroke Adults’ Ankle Proprioception Deficits and Related Brain Injury Academic Background Stroke is a common neurological disorder, often resulting in hemiplegia, which affects the patient’s balance and gait control. Proprioception refers to the self-perception of body posture and movement, provided by mechanore...

Post-Stroke Hand Gesture Recognition via One-Shot Transfer Learning Using Prototypical Networks

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Neurosurgery,
post-stroke   hand gesture recognition   machine learning   prototypical networks   few-shot learning  

Background Introduction Stroke is one of the leading causes of death and disability worldwide, with the total number of stroke patients increasing globally due to population aging and urbanization. Although advances in treatment have reduced mortality rates, the number of survivors requiring rehabilitation has increased significantly. This is parti...

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

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering,
fall risk   gait analysis   object detection   deep learning   visual attention  

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...

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

Engineering, Mechanical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Ankle Dorsiflexion   Minimum Foot Clearance   Swing Biomechanics   Ankle Foot Orthoses   Assistive Devices  

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...