AIMC Topic: Gait

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Using machine learning to identify Parkinson's disease severity subtypes with multimodal data.

Journal of neuroengineering and rehabilitation
BACKGROUND: Classifying and predicting Parkinson's disease (PD) is challenging because of its diverse subtypes based on severity levels. Currently, identifying objective biomarkers associated with disease severity that can distinguish PD subtypes in ...

Investigating the effect of morphology on the terrestrial gaits of amphibious fish using a reconfigurable robot.

Bioinspiration & biomimetics
The relationship between morphology and locomotion performance in amphibious fish remains poorly understood, particularly in axial-appendage-based and appendage-based movements. To address this, we introduce Polymander, a reconfigurable robot capable...

Personalized prediction of gait freezing using dynamic mode decomposition.

Scientific reports
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of pati...

Harnessing Fast Fourier Transform for Rapid Community Travel Distance and Step Estimation in Children with Duchenne Muscular Dystrophy.

Sensors (Basel, Switzerland)
Accurate estimation of gait characteristics, including step length, step velocity, and travel distance, is critical for assessing mobility in toddlers, children, and teens with Duchenne muscular dystrophy (DMD) and typically developing (TD) peers. Th...

Gait Characteristics Associated with Walking Speed in Postoperative Patients with Adult Spinal Deformity Extracted by Machine Learning.

Annals of biomedical engineering
PURPOSE: Patients with adult spinal deformity (ASD) are unable to walk faster even after spinal fixation. Gait rehabilitation that focuses on movements associated with reduced speed may help improve gait function. This study aimed to identify the gai...

Amphibious robotic dog: design, paddling gait planning, and experimental characterization.

Bioinspiration & biomimetics
Mammal-inspired quadruped robots excel in traversing diverse terrestrial terrains but often lack aquatic mobility, limiting their effectiveness in amphibious environments. To address this challenge, an amphibious robotic dog (ARD) was developed, inte...

Robot-assisted gait training for individuals with severe acquired brain injury: a scoping review.

Brain injury
INTRODUCTION: Early out-of-bed mobilization is recommended for individuals with severe acquired brain injury and impaired consciousness to promote recovery. Robot-assisted gait training (RAGT) utilizes robotic assistance to facilitate neuroplastic ch...

Marker based and markerless motion capture for equestrian rider kinematic analysis: A comparative study.

Journal of biomechanics
The study hypothesised that a markerless motion capture system can provide kinematic data comparable to a traditional marker-based system for riders mounted on a horse. The objective was to assess the markerless system's accuracy by directly comparin...

A wearable ankle-assisted robot for improving gait function and pattern in stroke patients.

Journal of neuroengineering and rehabilitation
BACKGROUND: Hemiplegic gait after a stroke can result in a decreased gait speed and asymmetrical gait pattern. Normal gait patterns and speed are typically the ultimate goals of gait function in stroke rehabilitation. The purpose of this study was to...

From marker to markerless: Validating DeepLabCut for 2D sagittal plane gait analysis in adults and newly walking toddlers.

Journal of biomechanics
The use of 3D marker-based motion analysis systems is considered the gold standard for tracking limb movements. However, these systems are expensive, limited to laboratory settings, and difficult to apply when studying paediatric populations. Therefo...