Results 111 to 120 of about 373,007 (340)

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

Arthroplasty 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, Nicholas Gillian, PhD, Thomas A. Peterson, PhD, Richard B. Souza, PhD, PT, Brooke Schultz, MS, ACE-CPT, Wojciech Mormul, MS, Marek K. Cichoń, MS, Agnieszka Barbara Szczotka, MS, Ivan Poupyrev, PhD   +8 more
doaj   +1 more source

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration [PDF]

, 2020
Yu Rong, Takaaki Shiratori, Hanbyul Joo
openalex   +1 more source

Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina, Anna Marcé‐Grau, Barbara Masotto, Marta Codina, Lamia BenJemaa, Yasmina Elaribi, Mónica Martinez‐Gallo, Roger Colobran, Angel Sanchez‐Montañez, Irene Valenzuela, Yoshiko Murakami, Alfons Macaya   +11 more
wiley   +1 more source

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

BMC 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, Thomas Lamparter, Fabian Lüthy   +2 more
doaj   +1 more source

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source

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

Jisuanji 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

Stimulatory effect of monoacylglycerol lipase inhibitor MJN110 on locomotion and step kinematics demonstrated by high-precision 3D motion capture in mice [PDF]

, 2023
Bogna M. Ignatowska‐Jankowska, Ayşen Gürkan Özer, Alexander Kuck, Micah J. Niphakis, Daisuke Ogasawara, Benjamin F. Cravatt, Marylka Yoe Uusisaari   +6 more
openalex   +1 more source

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

Methods for comparing three-dimensional motion trajectories

Journal 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, Maria Skublewska-Paszkowska   +1 more
doaj   +1 more source

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

IEEE 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, Saeed Shiry Ghidary   +1 more
doaj   +1 more source