AIMC Topic: Gait Disorders, Neurologic
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Restoration of gait for spinal cord injury patients using HAL with intention estimator for preferable swing speed.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 23, 2014
This paper proposes a novel gait intention estimator for an exoskeleton-wearer who needs gait support owing to walking impairment. The gait intention estimator not only detects the intention related to the start of the swing leg based on the behavior...
Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 13, 2014
A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradigm encourages subjects' active participation during training. Previous pilot studies demonstrated that assist-as-needed robot-aided gait training (RAG...
Robot-assisted gait training in a patient with hereditary spastic paraplegia.
PM & R : the journal of injury, function, and rehabilitation
Sep 22, 2014
Robot-assisted gait training has been investigated for restoring walking through activity-dependent neuroplasticity in persons with various neurologic disorders. This case report presents the outcome of robot-assisted gait training combined with phys...
Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates.
Neurobiology of disease
Jun 15, 2025
BACKGROUND: Despite prior studies on early-stage Parkinson's disease (PD) brain connectivity and temporal patterns, differences between tremor-dominant (TD) and postural instability/gait difficulty (PIGD) motor subtypes remain poorly understood. Our ...
Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach.
Computers in biology and medicine
Jun 1, 2025
Among the symptoms that can occur in Parkinson's disease (PD), Freezing of Gait (FOG) is a disabling phenomenon affecting a large proportion of patients, and it remains not fully understood. Accurate classification of FOG in PD is crucial for tailori...
A new lightweight deep learning model optimized with pruning and dynamic quantization to detect freezing gait on wearable devices.
Computers in biology and medicine
Jun 1, 2025
Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease that severely impacts patients' mobility and quality of life. To minimize the risk of falls and injuries associated with FoG, it is crucial to develop highly accurate FoG detecti...
Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic training modes.
BMC neurology
May 31, 2025
BACKGROUND: Stroke is a leading cause of long-term disability, with lower limb dysfunction being a common sequela that significantly impacts patients' mobility and quality of life. Robotic-assisted training has emerged as a promising intervention for...
Deep Learning-Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach.
Brain and behavior
Jan 1, 2025
PURPOSE: A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients' subjective reports and manual examinations by speciali...
Effect of Upper Limb Repetitive Facilitative Exercise on Gait of Stroke Patients based on Artificial Intelligence and Computer Vision Evaluation.
Journal of musculoskeletal & neuronal interactions
Sep 1, 2024
OBJECTIVE: This study aims to assess how enhancing upper limb function on the affected side of stroke influences the gait of the lower limb.
Enhanced Binary Classification of Gait Disorders Using a Machine Learning Majority Voting Approach.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
This study introduces a machine learning-based methodology for classifying healthy individuals and those with gait disorders, employing a merged data set from 'GaitRec' and 'Gutenberg.' Key gait features were extracted from the normalized ground reac...
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