AIMC Topic: Stroke Rehabilitation

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Effectiveness of unilateral lower-limb exoskeleton robot on balance and gait recovery and neuroplasticity in patients with subacute stroke: a randomized controlled trial.

Journal of neuroengineering and rehabilitation Dec 5, 2024
BACKGROUND: Impaired balance and gait in stroke survivors are associated with decreased functional independence. This study aimed to evaluate the effectiveness of unilateral lower-limb exoskeleton robot-assisted overground gait training compared with...
Humans Middle Aged Treatment Outcome Neuronal Plasticity Lower Extremity Recovery of Function Female Aged Adult Male Gait Exoskeleton Device Stroke Rehabilitation Gait Disorders, Neurologic Robotics Postural Balance Single-Blind Method Stroke
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Effects of Robot-Assisted Gait Training on Balance and Fear of Falling in Patients With Stroke: A Randomized Controlled Clinical Trial.

American journal of physical medicine & rehabilitation Dec 3, 2024
OBJECTIVE: The aim of this study was compare the effects of combined training, which included robot-assisted gait training in addition to traditional balance training, and traditional balance training alone on balance and fear of falling in patients ...
Stroke Rehabilitation Gait Disorders, Neurologic Stroke Gait Exercise Therapy Fear Humans Treatment Outcome Middle Aged Female Robotics Accidental Falls Aged Postural Balance Male
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Telerehabilitation using a 2-D planar arm rehabilitation robot for hemiparetic stroke: a feasibility study of clinic-to-home exergaming therapy.

Journal of neuroengineering and rehabilitation Nov 26, 2024
BACKGROUND: We evaluated the feasibility, safety, and efficacy of a 2D-planar robot for minimally supervised home-based upper-limb therapy for post-stroke hemiparesis.
Exergaming Arm Cost-Benefit Analysis Humans Paresis Treatment Outcome Stroke Rehabilitation Female Robotics Telerehabilitation Aged Stroke Male Feasibility Studies Middle Aged
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Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion.

International journal of neural systems Nov 19, 2024
Stroke, an abrupt cerebrovascular ailment resulting in brain tissue damage, has prompted the adoption of motor imagery (MI)-based brain-computer interface (BCI) systems in stroke rehabilitation. However, analyzing electroencephalogram (EEG) signals f...
Female Aged Adult Male Signal Processing, Computer-Assisted Stroke Brain-Computer Interfaces Middle Aged Electroencephalography Humans Neural Networks, Computer Brain Stroke Rehabilitation Imagination
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Partial prior transfer learning based on self-attention CNN for EEG decoding in stroke patients.

Scientific reports Nov 15, 2024
The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown to assist stroke patients activate motor regions in the brain. In particular, the brain regions activated by unilateral upper limb multi-task are more extensive,...
Male Middle Aged Electroencephalography Stroke Machine Learning Brain-Computer Interfaces Algorithms Stroke Rehabilitation Female Adult Humans Neural Networks, Computer
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An ANN models cortical-subcortical interaction during post-stroke recovery of finger dexterity.

Journal of neural engineering Nov 15, 2024
Finger dexterity, and finger individuation in particular, is crucial for human movement, and disruptions due to brain injury can significantly impact quality of life. Understanding the neurological mechanisms responsible for recovery is vital for eff...
Stroke Rehabilitation Motor Cortex Pyramidal Tracts Recovery of Function Stroke Fingers Motor Skills Humans Neural Networks, Computer Models, Neurological
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Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study.

Sensors (Basel, Switzerland) Nov 13, 2024
BACKGROUND: Three-dimensional gait analysis, supported by advanced sensor systems, is a crucial component in the rehabilitation assessment of post-stroke hemiplegic patients. However, the sensor data generated from such analyses are often complex and...
Hemiplegia Stroke Rehabilitation Muscle Strength Dynamometer Humans Cross-Sectional Studies Aged Machine Learning Muscle Strength Male Adult Female Stroke Middle Aged Gait Gait Analysis
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Impact of upper extremity robotic rehabilitation on respiratory parameters, functional capacity and dyspnea in patients with stroke: a randomized controlled study.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Nov 11, 2024
BACKGROUND: Stroke leads to reduced mobility and functional capacity, also negatively affects respiratory functions and muscle strength.
Stroke Dyspnea Adolescent Respiratory Function Tests Young Adult Treatment Outcome Stroke Rehabilitation Humans Upper Extremity Adult Muscle Strength Respiratory Muscles Female Male Robotics Aged Middle Aged
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Test-Retest Reliability and Responsiveness of the Machine Learning-Based Short-Form of the Berg Balance Scale in Persons With Stroke.

Archives of physical medicine and rehabilitation Nov 9, 2024
OBJECTIVE: To examine the test-retest reliability, responsiveness, and clinical utility of the machine learning-based short form of the Berg Balance Scale (BBS-ML) in persons with stroke.
Humans Machine Learning Middle Aged Postural Balance Disability Evaluation Female Stroke Reproducibility of Results Stroke Rehabilitation Aged Male
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VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network.

Sensors (Basel, Switzerland) Oct 30, 2024
Traditional rehabilitation training for stroke patients with ankle joint issues typically relies on the expertise of physicians. However, when confronted with complex challenges, such as online decision-making or assessing rehabilitation progress, ev...
Stroke Rehabilitation Decision Making Range of Motion, Articular Ankle Joint Humans Neural Networks, Computer Ankle Male Virtual Reality
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