Quantitative gait and balance outcomes for ataxia trials: consensus recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers

W Ilg, S Milne, T Schmitz-Hübsch, L Alcock, L Beichert… - The Cerebellum, 2024 - Springer
With disease-modifying drugs on the horizon for degenerative ataxias, ecologically valid,
finely granulated, digital health measures are highly warranted to augment clinical and …

Gait analysis in neurorehabilitation: from research to clinical practice

M Bonanno, AM De Nunzio, A Quartarone, A Militi… - Bioengineering, 2023 - mdpi.com
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 …

A systematic review of gait analysis in the context of multimodal sensing fusion and AI

R Katmah, A Al Shehhi, HF Jelinek… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Human walking gait classification utilizing an artificial neural network for the ergonomics study of lower limb prosthetics

FT Putri, W Caesarendra, G Królczyk, A Glowacz… - Prosthesis, 2023 - mdpi.com
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 …

Deep learning approaches for enhanced lower-limb exoskeleton control: A review

M Belal, N Alsheikh, A Aljarah, I Hussain - IEEE Access, 2024 - ieeexplore.ieee.org
Recent advancements in robotics have pushed the development of active exoskeletons and
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …

In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer

G Dion, A Tessier-Poirier, L Chiasson-Poirier… - Communications …, 2024 - nature.com
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 …

Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: striking a balance between …

P Bonato, V Feipel, G Corniani, G Arin-Bal, A Leardini - Gait & posture, 2024 - Elsevier
Background Over the past decades, tremendous technological advances have emerged in
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

M Seifallahi, JE Galvin, B Ghoraani - Frontiers in neurology, 2024 - frontiersin.org
Introduction Alzheimer's disease and related disorders (ADRD) progressively impair
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

L Hermez, A Halimi, N Houmani, S Garcia-Salicetti… - Sensors, 2023 - mdpi.com
This study addresses the characterization of normal gait and pathological deviations
induced by neurological diseases, considering knee angular kinematics in the sagittal …

Fall prevention after hip and knee arthroplasty

KA Wu, KM Kutzer, DN Kugelman… - Orthopedic …, 2024 - orthopedic.theclinics.com
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 …