Results 61 to 70 of about 22,292,420 (367)
Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy
This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches.
Djordje Slijepcevic+5 more
doaj +1 more source
Gait Analysis in Coxarthrosis.
I report the results from gait analysis for coxarthrotic patients using a ground reaction force plate and a three-dimensional motion analysis system. Twenty-seven coxarthrotic patients, and 9 healthy females as controls, participated in this study. The waveform of the ground reaction force and the joint moment during the stance phase were evaluated ...
openaire +4 more sources
Transforming Gait: Video-Based Spatiotemporal Gait Analysis
Human pose estimation from monocular video is a rapidly advancing field that offers great promise to human movement science and rehabilitation. This potential is tempered by the smaller body of work ensuring the outputs are clinically meaningful and properly calibrated.
Cotton, R. James+4 more
openaire +3 more sources
Clinical Characteristics of Parkinsonism in HTLV‐1‐Associated Myelopathy
ABSTRACT Objective Human T‐lymphotropic virus type 1 (HTLV‐1)‐associated myelopathy/tropical spastic paraparesis (HAM/TSP) is the classic neurological manifestation of HTLV‐1 infection; however, this virus has also been associated with other neurological disorders. Concurrent parkinsonism is relatively rare and presents diagnostic challenges.
Mika Dozono+8 more
wiley +1 more source
Background: Neuromuscular deficits of children with spastic cerebral palsy (CP) limits mobility, due to muscle weakness, short muscle-tendon unit, spasticity, and impaired selective motor control.
Jake A. Mooney+3 more
doaj +1 more source
Emotional characteristic analysis of human gait while real-time movie viewing
Emotion recognition is useful in many applications such as preventing crime or improving customer satisfaction. Most of current methods are performed using facial features, which require close-up face information. Such information is difficult to capture
Nitchan Jianwattanapaisarn+5 more
doaj +1 more source
Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy
ABSTRACT Objective To evaluate the utility of smartwatch and smartphone‐based activity metrics for assessing disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In the electronic monitoring of disease activity in patients with CIDP (EMDA‐CIDP) trial, we performed a prospective ...
Lars Masanneck+15 more
wiley +1 more source
In vitro measurements are widely used to implement gait kinematic and kinetic parameters to predict THA wear rate. Clinical tests of materials and designs are crucial to prove the accuracy and validate such measurements.
Athanasios Triantafyllou+4 more
doaj +1 more source
NOTCH2NLC Repeat Expansions in Parkinsonian Disorders: Clinical and Neuroimaging Characteristics
ABSTRACT Objective Neuronal intranuclear inclusion disease (NIID) is a neurodegenerative disorder caused by NOTCH2NLC GGC repeat expansions, with heterogeneous clinical manifestations, including parkinsonism. Recent studies have identified NOTCH2NLC repeat expansions in patients with Parkinson's disease (PD) and atypical parkinsonism (aPM), suggesting ...
Han‐Lin Chiang+7 more
wiley +1 more source
Identification of neuromuscular impairments in cerebral palsy (CP) is essential to providing effective treatment. However, clinical recognition of neuromuscular impairments in CP and their contribution to gait abnormalities is limited, resulting in ...
Kylie Clewes+8 more
doaj +1 more source