Results 71 to 80 of about 81,064 (299)

Continuous Predictors of Pretest-Posttest Change: Highlighting the Impact of the Regression Artifact

Frontiers in Applied Mathematics and Statistics, 2019
Researchers are often interested in exploring predictors of change, and commonly use a regression based model or a gain score analysis to compare degree of change across groups.
Linda Farmus, Chantal A. Arpin-Cribbie, Robert A. Cribbie   +2 more
doaj   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

A novel EEG artifact removal algorithm based on an advanced attention mechanism

Scientific Reports
EEG is widely applied in emotion recognition, brain disease detection, and other fields due to its high temporal resolution and non-invasiveness. However, artifact removal remains a crucial issue in EEG signal processing.
Rui Jiang, Shen Tong, Jiawei Wu, Haowei Hu, Ran Zhang, Heng Wang, Yan Zhao, Weixin Zhu, Shuyan Li, Xiao Zhang   +9 more
doaj   +1 more source

Artifact Correction in Short-Term HRV during Strenuous Physical Exercise

Sensors, 2020
Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually performed in controlled or semi-controlled conditions.
Aleksandra Królak, Tomasz Wiktorski, Magnus Friestad Bjørkavoll-Bergseth, Stein Ørn   +3 more
doaj   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Corneo-retinal-dipole and eyelid-related eye artifacts can be corrected offline and online in electroencephalographic and magnetoencephalographic signals

NeuroImage, 2020
Eye movements and blinks contaminate electroencephalographic (EEG) and magnetoencephalographic (MEG) activity. As the eye moves, the corneo-retinal dipole (CRD) and eyelid introduce potential/field changes in the M/EEG activity.
Reinmar J. Kobler, Andreea I. Sburlea, Catarina Lopes-Dias, Andreas Schwarz, Masayuki Hirata, Gernot R. Müller-Putz   +5 more
doaj   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Tribology of ZrC Coatings and Spherical Tips Acquired with Extraordinarily Stiff, Metal Atomic Force Microscopy Probes

Advanced Engineering Materials, EarlyView.
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk, Marcin Michałowski, Bogdan Warcholiński, Michał Milczarek, Adam Gilewicz   +4 more
wiley   +1 more source

Mechanical Behavior and Microstructural Changes Associated with Tensile Deformation above the Martensite Start Temperature during Quenching and Subsequent Partitioning of a Low‐Alloy 37SiB6 Steel

Advanced Engineering Materials, EarlyView.
A new experimental setup, incorporating digital image correlation and infrared thermography in combination with inductive‐conductive heating for precise temperature control, is used to analyze the mechanical behavior and microstructural changes of sheet metal under complex thermomechanical test conditions that represent quench and partitioning ...
Christian Illgen, Benjamin Bohne, Sven Winter, Marcus Böhme, Martin F.-X. Wagner   +4 more
wiley   +1 more source

Characterization of Quadratic Nonlinearity between Motion Artifact and Acceleration Data and its Application to Heartbeat Rate Estimation

Sensors, 2017
Accelerometers are applied to various applications to collect information about movements of other sensors deployed at diverse fields ranging from underwater area to human body.
Sunho Kim, Sungbin Im, Taehyung Park
doaj   +1 more source