Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Automated Clinical Assessment of Abnormal Walking Movements in ABI Patients Through Image Extraction and Classification Systems Academic Background Walking disability is a common physical impairment following Acquired Brain Injury (ABI). ABI typically includes stroke and traumatic brain injury, with a global incidence of approximately 1.5 million c...

Customized Passive-Dynamic Ankle–Foot Orthoses Can Improve Walking Economy and Speed for Many Individuals Post-Stroke

Custom Passive Dynamic Ankle-Foot Orthoses Can Improve Walking Economy and Speed Post-Stroke Background Introduction Stroke is one of the leading causes of long-term disability, affecting over 795,000 individuals annually in the United States. A common post-stroke issue is plantar flexor weakness in the affected limb, impacting the ability to contr...

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

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...

Safety & Efficacy of a Robotic Hip Exoskeleton on Outpatient Stroke Rehabilitation

Safety and Efficacy: The Impact of Robotic Hip Exoskeleton on Outpatient Stroke Rehabilitation Background Stroke is the leading cause of disability among adults in the United States, with up to 80% of stroke survivors experiencing gait impairments, such as reduced walking speed, endurance, and asymmetrical gait, thereby limiting their ability to wa...

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

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...

A Scoping Review on Examination Approaches for Identifying Tactile Deficits at the Upper Extremity in Individuals with Stroke

Academic Report on “The Scope Review of Upper Limb Tactile Deficit Examination Methods” In recent years, post-stroke patients’ capacity to perceive tactile stimuli has become a focal point of research. This perception is very important for the execution of movements and learning activities in everyday life. However, tactile perceptual deficits seri...

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

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

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...