Results 41 to 50 of about 5,348,114 (153)

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

Empirical Mode Decomposition Aided by Adaptive Low Pass Filtering [PDF]

, 2012
Empirical Mode Decomposition (EMD) is an adaptive signal analysis technique which derives its basis functions from the signal itself. EMD is realized through successive iterations of a sifting process requiring local mean computation.
Arıkan, Orhan, A. Enis Cetin, Cetin, A. Enis, Orhan Arikan, Onur Ozturk, Arikan ,Orhan, Ozturk, Onur   +6 more
core   +1 more source

Noise-assisted multivariate empirical mode decomposition based causal decomposition for brain-physiological network in bivariate and multiscale time series.

, 2022
Objective.Noise-assisted multivariate empirical mode decomposition (NA-MEMD) based causal decomposition depicts a cause and effect relationship that is not based on the term of prediction, but rather on the phase dependence of time series.
Ran, Y, Celler, B, Yao, D, Wang, G, Yang, Q, Xu, P, Zhang, L, Su, S, Zhang, Y   +8 more
core   +1 more source

Multivariate Multiscale Entropy Applied to Center of Pressure Signals Analysis: An Effect of Vibration Stimulation of Shoes

Entropy, 2012
Falls are unpredictable accidents and resulting injuries can be serious to the elderly. A preventative solution can be the use of vibration stimulus of white noise to improve the sense of balance.
Jiann-Shing Shieh, Chuan Wu, Bernard C. Jiang, Ku-Ping Chen, Maysam F. Abbod, Quan Liu, Qin Wei, Kai-Hong Wang, Dong-Hai Liu   +8 more
doaj   +1 more source

Denoising and classification of Arrhythmia using MEMD and ANN

Alexandria Engineering Journal, 2022
One of the major reasons of death worldwide is Cardiovascular diseases. One of its type is Arrhythmia in which normal rhythm of heart is varied due to damage in heart muscles and electrolyte imbalance.
Sadia Murawwat, Hafiz M. Asif, Sana Ijaz, Muhammad Imran Malik, Kaamran Raahemifar   +4 more
doaj   +1 more source

An Efficient and Robust Muscle Artifact Removal Method for Few-Channel EEG

IEEE Access, 2019
The unavoidable muscle artifacts pose challenges on reliable interpretation of the electroencephalogram (EEG) recordings, especially for the wearable few-channel EEG, a new emerging scenario. However, the high computational load and low robustness of the
Yan Liu, Yuanfeng Zhou, Xun Lang, Yipeng Liu, Qian Zheng, Yanjiong Zhang, Xu Jiang, Li Zhang, Jihong Tang, Yakang Dai   +9 more
doaj   +1 more source

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

, 2019
Solar energy is an alternative renewable energy resource that has the potential of cleanly addressing the increasing demand for electricity in the modern era to overcome future energy crises.
Kwan, Paul, Khan, Huma, Prasad, Ramendra, Ali, Mumtaz   +3 more
core   +1 more source

Enhanced monopulse radar tracking using empirical mode decomposition [PDF]

, 2010
Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
core   +3 more sources

An Ensemble Multivariate Multiscale Framework for Prediction of Long‐Term Solar Activity With Nonstationary Oscillations

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Solar activity is usually characterized by different indices from different perspectives, which are commonly interconnected and contain nonstationary oscillations (NSOs). Given the significant influence of solar activity on space weather, the Earth and humans, it is of great significance to predict solar activity for better understanding not ...
Shan Jiang, Zu‐Guo Yu, Vo Van Anh, Taesam Lee, Yu Zhou   +4 more
wiley   +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