Instrumented gait analysis (IGA) is an expensive technique used to objectively detect gait
abnormalities in children. Observational gait assessment is considered as a cost effective …

The COVID-19 pandemic has accelerated many changes in medicine including the
transition from providing care in person to providing care via technology enabled …

Objective: This paper describes how non-invasive wearable sensors can be used in
combination with deep learning to classify artificially induced gait alterations without the …

Background A wide variety of indices have been developed to quantify gait performance
markers and associate them with their respective pathologies. Indices scores have enabled …

In this work, we propose an end-to-end deep learning model that uses the skeleton data
recorded by Kinect to capture spatiotemporal patterns for gait anomaly recognition. Via …

Assessment of gait abnormalities in cerebral palsy (CP) is challenging, and access to
instrumented gait analysis is not always feasible. Therefore, many observational gait …

Abstract Ankle-foot-orthoses (AFOs) are externally applied assistive devices that are
prescribed to the patients with neuromuscular dysfunctions in order to improve abnormal …

Objectives: To examine the impairments, activity limitations, and participation restrictions in
children with spastic unilateral and bilateral cerebral palsy (CP). We investigated the …

Abstract Background The Edinburgh Visual Gait Score (EVGS) is a comprehensive measure
of gait abnormalities in children with cerebral palsy (CP) and has good psychometric …

Objective There is an urgent need for reliable and universally applicable outcome measures
for children with mitochondrial diseases. In this study, we aimed to adapt the currently …