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

Medicine, Orthopedics, Neurology, Life Sciences, Bioengineering,
stroke rehabilitation   exoskeleton   gait training   outpatient   safety   efficacy  

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

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...

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...

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

Medicine, Neurology, Medical Imaging, Sports Medicine, Life Sciences, Bioengineering,
pathological gaits   gait analysis   step detection   pattern recognition   inertial measurement units   dynamic time warping  

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...