Results 41 to 50 of about 5,816 (193)

Feature Extraction and Simulation of EEG Signals During Exercise-Induced Fatigue

IEEE Access, 2019
Accurate extraction of EEG signal characteristics during exercise fatigue can provide a scientific basis for sports fatigue detection and exercise fatigue injury treatment.
Zhongwan Yang, Huijie Ren
doaj   +1 more source

Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

Entropy, 2013
EEG (Electroencephalography) signals can express the human awareness activities and consequently it can indicate the depth of anesthesia. On the other hand, Bispectral-index (BIS) is often used as an indicator to assess the depth of anesthesia.
Jiann-Shing Shieh, Jeng-Fu Wu, Kuo-Kuang Jen, Jeng-Rung Huang, Maysam F. Abbod, Shou-Zen Fan   +5 more
doaj   +1 more source

Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

Frontiers in Neuroinformatics, 2022
Causality inference has arrested much attention in academic studies. Currently, multiple methods such as Granger causality, Convergent Cross Mapping (CCM), and Noise-assisted Multivariate Empirical Mode Decomposition (NA-MEMD) are introduced to solve the
Yi Zhang, Yi Zhang, Yi Zhang, Guan Wang, Ziwen Li, Mingjun Xie, Branko Celler, Steven Su, Peng Xu, Peng Xu, Dezhong Yao, Dezhong Yao   +11 more
doaj   +1 more source

Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization [PDF]

, 2017
EEG source localization is determining possible cortical sources of brain activities with scalp EEG. Generally, every step of the data processing sequence affects the accuracy of EEG source localization.
Ahmedov, Anvarjon, Khosropanah, Pegah, Marhaban, Mohammad Hamiruce, Kheng Seang Lim, Ramli, Abdul Rahman, Pegah Khosropanah, Abdul Rahman Ramli, Anvarjon Ahmedov, Mohammad Hamiruce Marhaban, Lim, Kheng Seang   +9 more
core   +1 more source

Fu-Zhang/NA-MEMD-based-causal-decomposition-analysis: NA-MEMD based causal decomposition analysis

, 2020
No description ...
Fu-Zhang
core   +1 more source

Linear Versus Nonlinear Methods for Detecting Magnetospheric and Ionospheric Current Systems Patterns

Earth and Space Science, 2020
There is a growing interest in the development of models and methods of analysis aimed to recognize in the geomagnetic field signals the different contributions coming from the various sources both internal and external to the Earth.
T. Alberti, F. Giannattasio, P. De Michelis, G. Consolini   +3 more
doaj   +1 more source

Performance Comparison of Cross- and Forward-Flow Configurations for Multiple-Effect Vacuum Membrane Distillation

Membranes, 2022
This work addresses retrofitting the infrastructure of multiple-effect vacuum membrane distillation (V-MEMD) units by using cross-flow configuration (CFC). In this configuration, the feed water is evenly divided and distributed over the effects.
Abdullah Najib, Hany Al-Ansary, Jamel Orfi, Emad Ali, Fahad Awjah Almehmadi   +4 more
doaj   +1 more source

Fire‐Atmosphere Coupling Starts Upwind: Selective Redistribution of Turbulence at the Fire‐Induced Rear Inflow

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 17, 16 September 2026.
Abstract Wildfires alter local atmospheric conditions, yet the spatial extent and frequency‐dependent characteristics of fire‐induced inflow perturbations remain largely unquantified. This study applies Multivariate Empirical Mode Decomposition (MEMD) to analyze high‐frequency horizontal wind speed data from a tower positioned at varying distances (∼80–
Gitesh Wasson, Marwan Katurji, Peyman Zawar‐Reza, Andres Valencia, Jiawei Zhang, Tara Strand, H. Grant Pearce, Jessica Kerr   +7 more
wiley   +1 more source

Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform [PDF]

Journal of Soft Computing in Civil Engineering
Super-tall skyscrapers are crucial for modern urbanization, but ensuring their safety in natural events is vital. Structural Health Monitoring (SHM) is essential for assessing the condition of these iconic structures.
Rouzbeh Doroudi, Seyed Hossein Hosseini Lavasani, Mohsen Shahrouzi, Aref Afshar   +3 more
doaj   +1 more source

Disentangling slope‐scale spatial variability of saturated hydraulic conductivity in the black soil region of northeast China using noise‐assisted multivariate empirical mode decomposition

Vadose Zone Journal
Reliable estimates of saturated hydraulic conductivity (Ks) are usually difficult to obtain, as Ks is regulated by a variety of soil processes acting at different spatial scales that may obscure each other's impacts.
Yang Yang, Tingting Peng, Hui Zhang, Ole Wendroth, Zixin Jin, Xinyi Chen, Yingna Liu   +6 more
doaj   +1 more source