2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
DOI: 10.1109/embc.2019.8856884
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Identification of Neuromuscular Causal Relationship Between Brain and Muscles in Limb Movement by Using Ensemble Empirical Mode Decomposition based Causal Decomposition

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Cited by 4 publications
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“…For stochastic signals, such as nonlinear and non-stationary neural signals, empirical mode decomposition (EMD) has been used to study the time-frequency representation of functional activities such as locomotion, the use of EMG, and the brain's physiological processes using electroencephalography (EEG) [16,[18][19][20][21]. This method decomposes the signal into a finite and often small number of intrinsic mode functions (IMFs) [20].…”
Section: Introductionmentioning
confidence: 99%
“…For stochastic signals, such as nonlinear and non-stationary neural signals, empirical mode decomposition (EMD) has been used to study the time-frequency representation of functional activities such as locomotion, the use of EMG, and the brain's physiological processes using electroencephalography (EEG) [16,[18][19][20][21]. This method decomposes the signal into a finite and often small number of intrinsic mode functions (IMFs) [20].…”
Section: Introductionmentioning
confidence: 99%