Results 51 to 60 of about 2,043,515 (147)

SUPERSEDED - Matlab codes for "Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis"

, 2016
## This item has been superseded. It contained code for Azami, H., Fernández, A. & Escudero, J. Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. Med Biol Eng Comput 55, 2037–2052 (2017). For up-to-date versions
Azami, Hamed, Escudero, Javier
core   +1 more source

Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy

, 2020
Multiscale Permutation Entropy (MPE) analysis is a powerful ordinal tool in the measurement of information content of time series. MPE refinements, such as Composite MPE (cMPE) and Refined Composite MPE (rcMPE), greatly increase the precision of the ...
Antonio Dávalos, Jabloun, Meryem, Meryem Jabloun, Dávalos, Antonio, Philippe Ravier, Ravier, Philippe, Olivier Buttelli, Buttelli, Olivier   +7 more
core   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

Advanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski, Chenyan Wang, Xinrui Wang, Huaxiao Yang, Zhao Qin, Zhen Ma   +5 more
wiley   +1 more source

Refined composite multivariate multiscale entropy based on variance for analysis of resting-state magnetoencephalograms in Alzheimer's disease [PDF]

, 2016
Alzheimer's disease (AD) is one of the fastest growing neurological diseases. Multiscale entropy with coarse-graining based on mean (MSEμ) has been widely used to characterize AD.
Hamed Azami, Javier Escudero, Azami, Hamed, Alberto Fernandez, Escudero, Javier; id_orcid, Fernandez, Alberto   +5 more
core   +1 more source

SFMFNet: Spatial‐Frequency Multiscale Fusion Network for Left Ventricle Segmentation in Echocardiography

Advanced Intelligent Systems, EarlyView.
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li, Patrick Pang, Chi‐Kin Lam, Tao Tan   +3 more
wiley   +1 more source

Sigmoid-Based Refined Composite Multiscale Fuzzy Entropy and t-Distributed Stochastic Neighbor Embedding Based Fault Diagnosis of Rolling Bearing

, 2017
Multiscale fuzzy entropy (MFE) has been a prevalent tool to quantify the complexity of time series. However, it is extremely sensitive to the predetermined parameters and length of time series and it may yield an inaccurate estimation of entropy or cause undefined entropy when the length of time series is too short.
Jiang, Zhanwei, Zheng, Jinde, Pan, Haiyang, Pan, Ziwei   +3 more
openaire   +2 more sources

Beyond the Camera: Epidermal Sensor Platforms for Intelligent Facial Expression Recognition and Interactive Human Monitoring

Advanced Intelligent Systems, EarlyView.
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung, Manchi Nagaraju, Jun‐Gyu Choi, Jaeil Park, Sungjun Park, Daegun Kim   +5 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Tissue Clearing for Lymph Nodes: 3D Mapping of Nerves and the Immune Microenvironment

iNew Medicine, EarlyView.
ABSTRACT Lymph nodes (LNs) are central hubs of adaptive immunity and key relay sites for metastatic tumour cells. However, conventional two‐dimensional histology samples only a small fraction of each node, potentially missing micrometastases and multifocal involvement while obscuring long‐range spatial relationships among tumour deposits, immune ...
Guang‐Hong Su, Fei Wang, Ting‐Hong Wei, Rui Lu, Wen‐Jun Huang, Xiang Zhang, Ling Yin, Jun Li   +7 more
wiley   +1 more source

Why Use Immersive Virtual Reality to Assess Gait in Functional Motor Disorders?

Movement Disorders, EarlyView.
Abstract Background Functional motor disorders (FMD) are disabling conditions modulated by attentional demands. Immersive virtual reality (iVR) engages multiple attentional and sensory networks, but its application in people with FMD (PwFMD) remains limited.
Marialuisa Gandolfi, Chiara Bonetto, Corrado Perin, Angela Sandri, Giulia Bonardi, Ilaria Antonella Di Vico, Laura Avanzino, Elisa Pelosin, Mauro Crestani, Christian Geroin, Denis Vidale, Marco Pirini, Mirta Fiorio, Michele Tinazzi, Francesca Salaorni   +14 more
wiley   +1 more source