Journal ArticleDOI
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Norden E. Huang,Zheng Shen,Steven R. Long,Man-Li C. Wu,Hsing H. Shih,Quanan Zheng,Nai-Chyuan Yen,C. C. Tung,Henry H. Liu +8 more
TLDR
In this paper, a new method for analysing nonlinear and nonstationary data has been developed, which is the key part of the method is the empirical mode decomposition method with which any complicated data set can be decoded.Abstract:
A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the empirical mode decomposition method with which any complicated data set can be dec...read more
Citations
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Journal ArticleDOI
Revealing the brain's adaptability and the transcranial direct current stimulation facilitating effect in inhibitory control by multiscale entropy.
Wei Kuang Liang,Men Tzung Lo,Albert C. Yang,Albert C. Yang,Chung-Kang Peng,Chung-Kang Peng,Shih Kuen Cheng,Philip Tseng,Chi Hung Juan +8 more
TL;DR: The current study demonstrates that participants who suffer from poor inhibitory control can efficiently improve their performance with 10min of electrical stimulation, and such cognitive improvement can be effectively traced back to the complexity within the EEG signals via MSE analysis, thereby offering a theoretical basis for clinical intervention via tDCS for deficits in inhibitorycontrol.
Journal ArticleDOI
Rolling Bearing Fault Diagnosis Based on an Improved Denoising Method Using the Complete Ensemble Empirical Mode Decomposition and the Optimized Thresholding Operation
TL;DR: An improved denoising method based on a complete ensemble empirical mode decomposition with an adaptive noise (CEEMDAN) associated with an optimized thresholding operation for early detection of rolling bearing faults is proposed.
Journal ArticleDOI
Adaptive Multiscale Entropy Analysis of Multivariate Neural Data
Meng Hu,Hualou Liang +1 more
TL;DR: Adaptive multiscale entropy (AME) as mentioned in this paper is a multivariate empirical mode decomposition (MEMD) based approach to measure the complexity of nonlinear/nonstationary signals.
Journal ArticleDOI
Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar
TL;DR: The radar sensor described is a noncontact healthcare monitoring capable of detecting subject chest-wall movement caused by cardiopulmonary activities and wirelessly estimating the respiration and heartbeat rates of the subject without attaching any devices to the body.
Journal ArticleDOI
Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective
Zied Ftiti,Sinda Hadhri +1 more
TL;DR: In this article, the causal relationship between economic policy uncertainty, oil prices, investor sentiment, and stock returns of nine Dow Jones Islamic Market Indices was investigated using the ensemble empirical mode decomposition model.
References
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