Results 101 to 110 of about 22,337,404 (407)

Factors for Rituximab Refractoriness in AQP4‐IgG+ NMOSD: A Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuromyelitis optica spectrum disorder (NMOSD) is a severe autoimmune condition of the central nervous system (CNS), often associated with aquaporin‐4 antibodies (AQP4‐IgG). Rituximab, a CD20+ B‐cell depleting monoclonal antibody, is widely used as first‐line therapy.
Mariano Marrodan   +8 more
wiley   +1 more source

Slow gait speed and cardiac rehabilitation participation in older adults after acute myocardial infarction [PDF]

open access: yes, 2018
Background Lack of participation in cardiac rehabilitation ( CR ) and slow gait speed have both been associated with poor long‐term outcomes in older adults after acute myocardial ...
Alexander, Karen P   +5 more
core   +2 more sources

Cognitive and Patient‐Reported Outcome Measures in LGI‐1‐IgG Autoimmune Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical outcome measures for autoimmune encephalitis (AE) are not yet well defined. Cognitive outcome measures (CogOs) and patient‐reported outcomes (PROs) may capture the symptoms of AE, beyond clinician‐reported outcomes (ClinROs) (the Modified Rankin Scale [mRS] and Clinical Assessment Scale in Autoimmune Encephalitis [CASE ...
Tatchaporn Ongphichetmetha   +8 more
wiley   +1 more source

Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models

open access: yesIEEE transactions on neural systems and rehabilitation engineering, 2019
Wearable sensors have been proposed as alternatives to traditional laboratory equipment for low-cost and portable real-time gait analysis in unconstrained environments. However, the moderate accuracy of these systems currently limits their widespread use.
Huanghe Zhang, Yi Guo, D. Zanotto
semanticscholar   +1 more source

A Comparative Evaluation of Gait between Children with Autism and Typically Developing Matched Controls [PDF]

open access: yes, 2017
Anecdotal reports suggest children with autism spectrum disorder (ASD) ambulate differently than peers with typical development (TD). Little empirical evidence supports these reports. Children with ASD exhibit delayed motor skills, and it is important to
Dufek, Janet S.   +3 more
core   +3 more sources

3D free-hand ultrasound to register anatomical landmarks at the pelvis and localize the hip joint center in lean and obese individuals

open access: yesScientific Reports, 2021
3D free-hand ultrasound (3DFUS) is becoming increasingly popular to assist clinical gait analysis because it is cost- and time-efficient and does not expose participants to radiation.
Brian Horsak   +7 more
doaj   +1 more source

Gait analysis with wearables predicts conversion to Parkinson disease

open access: yesAnnals of Neurology, 2019
Quantification of gait with wearable technology is promising; recent cross‐sectional studies showed that gait characteristics are potential prodromal markers for Parkinson disease (PD).
S. Del Din   +11 more
semanticscholar   +1 more source

Clinical Characteristics of Parkinsonism in HTLV‐1‐Associated Myelopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Multi-set canonical correlation analysis for 3D abnormal gait behaviour recognition based on virtual sample generation [PDF]

open access: yes, 2020
Small sample dataset and two-dimensional (2D) approach are challenges to vision-based abnormal gait behaviour recognition (AGBR). The lack of three-dimensional (3D) structure of the human body causes 2D based methods to be limited in abnormal gait ...
Luo, Jian, Tjahjadi, Tardi
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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