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Quantitative gait and balance outcomes for ataxia trials: consensus recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers
With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid,
finely granulated, digital health measures are highly warranted to augment clinical and …
finely granulated, digital health measures are highly warranted to augment clinical and …
Gait analysis in neurorehabilitation: from research to clinical practice
When brain damage occurs, gait and balance are often impaired. Evaluation of the gait
cycle, therefore, has a pivotal role during the rehabilitation path of subjects who suffer from …
cycle, therefore, has a pivotal role during the rehabilitation path of subjects who suffer from …
A systematic review of gait analysis in the context of multimodal sensing fusion and AI
Background: Neurological diseases are a leading cause of disability and mortality. Gait, or
human walking, is a significant predictor of quality of life, morbidity, and mortality. Gait …
human walking, is a significant predictor of quality of life, morbidity, and mortality. Gait …
[HTML][HTML] Human walking gait classification utilizing an artificial neural network for the ergonomics study of lower limb prosthetics
Prosthetics and orthotics research, studies, and technologies have been evolving through
the years. According to World Health Organization (WHO) data, it is estimated that, globally …
the years. According to World Health Organization (WHO) data, it is estimated that, globally …
Deep learning approaches for enhanced lower-limb exoskeleton control: A review
Recent advancements in robotics have pushed the development of active exoskeletons and
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …
In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer
In-sensor computing could become a fundamentally new approach to the deployment of
machine learning in small devices that must operate securely with limited energy resources …
machine learning in small devices that must operate securely with limited energy resources …
Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: striking a balance between …
Background Over the past decades, tremendous technological advances have emerged in
human motion analysis (HMA). Research question How has technology for analysing …
human motion analysis (HMA). Research question How has technology for analysing …
Detection of mild cognitive impairment using various types of gait tests and machine learning
Introduction Alzheimer's disease and related disorders (ADRD) progressively impair
cognitive function, prompting the need for early detection to mitigate its impact. Mild …
cognitive function, prompting the need for early detection to mitigate its impact. Mild …
[HTML][HTML] Clinical gait analysis: characterizing normal gait and pathological deviations due to neurological diseases
This study addresses the characterization of normal gait and pathological deviations
induced by neurological diseases, considering knee angular kinematics in the sagittal …
induced by neurological diseases, considering knee angular kinematics in the sagittal …
Fall prevention after hip and knee arthroplasty
Total knee arthroplasty (TKA) and total hip arthroplasty (THA) are widely recognized as
effective treatments for end-stage osteoarthritis of the knee and hip, offering significant pain …
effective treatments for end-stage osteoarthritis of the knee and hip, offering significant pain …