Results 81 to 90 of about 78,556 (261)

Validity and reliability of simple measurement device to assess the velocity of the barbell during squats

open access: yesBMC Research Notes, 2017
Objectives The velocity of a barbell can provide important insights on the performance of athletes during strength training. The aim of this work was to assess the validity and reliably of four simple measurement devices that were compared to 3D motion ...
Silvio Lorenzetti   +2 more
doaj   +1 more source

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers   +19 more
wiley   +1 more source

Unlocking Gait Analysis Beyond the Gait Lab: High-Fidelity Replication of Knee Kinematics Using Inertial Motion Units and a Convolutional Neural Network

open access: yesArthroplasty Today
Background: Gait analysis using three-dimensional motion capture systems (3D motion capture) provides a combination of kinematic and kinetic measurements for quantifying and characterizing the motion and loads, respectively, of lower extremity joints ...
Stefano A. Bini, MD   +8 more
doaj   +1 more source

Point Cloud Action Recognition Method Based on Masked Self-Supervised Learning [PDF]

open access: yesJisuanji kexue yu tansuo
Point cloud action recognition methods can provide precise 3D motion monitoring and recognition services, with broad application prospects in fields such as intelligent interaction, intelligent security, and medical health. Existing methods typically use
HE Yundong, LI Ping, PING Chenhao
doaj   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright   +10 more
wiley   +1 more source

Methods for comparing three-dimensional motion trajectories

open access: yesJournal of Computer Sciences Institute
Analysis of three-dimensional motion trajectories plays an important role in medicine, sports, robotics, and the entertainment industry. This research aims to compare the performance of the following six trajectory analysis algorithms: Euclidean ...
Tomasz Waldemar Samorow   +1 more
doaj   +1 more source

Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd   +118 more
wiley   +1 more source

3D motion capture system for assessing patient motion during Fugl‐Meyer stroke rehabilitation testing

open access: yesIET Computer Vision, 2018
The authors introduce a novel marker‐less multi‐camera setup that allows easy synchronisation between 3D cameras as well as a novel pose estimation method that is calculated on the fly based on the human body being tracked, and thus requires no ...
Nadav Eichler   +5 more
doaj   +1 more source

3D Motion Reconstruction From 2D Motion Data Using Multimodal Conditional Deep Belief Network

open access: yesIEEE Access, 2019
In this paper, we propose a deep generative model named multimodal conditional deep belief network (MCDBN) for cross-modal learning of 3D motion data and their non-injective 2D projections on the image plane.
Muhammad Javad Heydari   +1 more
doaj   +1 more source

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch   +5 more
wiley   +1 more source

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