Results 61 to 70 of about 10,624 (261)
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Statistical Displacement Analysis for Handwriting Verification [PDF]
In this paper, it is assumed that each writer has his or her own statistics of handwriting displacement, therefore a statistical displacement analysis for handwriting verification is proposed. Here, a regularization method with the coarse-to-fine strategy computes the displacement function in questionable handwritten letters, and then it is normalized ...
Yoshiki Mizukami +3 more
openaire +2 more sources
Intracerebral Hemorrhage Induces Monocyte TNF Signaling in Patients That Is Suppressed by BAF312
ABSTRACT Objective Intracerebral hemorrhage (ICH) causes high morbidity and mortality, with neurotoxic inflammation driven by infiltrating monocytes. This study is an in‐depth longitudinal examination of the immune response during the first week of ICH in the presence and absence of the immunomodulatory drug BAF312 (Siponimod).
Jonathan Howard DeLong +10 more
wiley +1 more source
HWR-PDNet: A Transfer Learning CNN for Parkinson's Detection from Handwriting Images
Parkinson's Disease (PD) is a progressive, chronic neurological disorder that is distinguished by abnormalities in the motor system. The condition can be detected in the early stage by the irregular handwriting of the individual.
Mathu T +3 more
doaj +1 more source
White Matter and Perivascular Imaging Changes in Alzheimer's Disease and Cerebral Amyloid Angiopathy
ABSTRACT Objective Peak‐width of skeletonized mean diffusivity (PSMD) and diffusion tensor imaging–analysis along the perivascular space (DTI‐ALPS), reflecting white matter integrity and glymphatic function, are altered in Alzheimer's disease (AD).
Debina Laishram +3 more
wiley +1 more source
Hybrid models for handwriting-based diagnosis of Parkinson's disease
Parkinson's disease (PD) is a progressive neurodegenerative disorder that primarily impairs motor functions, leading to symptoms such as tremors and micrographia.
Asma Ouabd +3 more
doaj +1 more source
In contrast to traditional researches that involve a manual, non-quantitative, and subjective way of performing handwriting analysis, in the current research, a special computer-aided method of revised handwriting analysis is used.
Yury Chernov, Claudia Caspers
doaj +1 more source
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
The paper describes methods for teaching writing skills and types of writing workbooks currently used in schools. A handwriting study was conducted among 2nd-to-4th graders, 7th-to-9th graders, and 1st-to-3rd year students of vocational colleges.
E. Belova
doaj
Objective Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition with widely varying global prevalence estimates. The frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the United States or United Kingdom, at 19 to 39 per 100,000 as opposed ...
Lucinda Roper +7 more
wiley +1 more source

