Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means

2014 ◽  
pp. 143-157 ◽  
Author(s):  
Guohun Zhu ◽  
Yan Li ◽  
Peng Wen ◽  
Shuaifang Wang
Keyword(s):  
Permutation Entropy ◽  
Eeg Signals ◽  
Multi Scale

scholarly journals Using Permutation Entropy to Measure the Changes in EEG Signals During Absence Seizures

Entropy ◽  
2014 ◽  
Vol 16 (6) ◽  
pp. 3049-3061 ◽  
Author(s):  
Jing Li ◽  
Jiaqing Yan ◽  
Xianzeng Liu ◽  
Gaoxiang Ouyang
Keyword(s):  
Permutation Entropy ◽  
Eeg Signals ◽  
Absence Seizures

Facial expression awareness based on multi-scale permutation entropy of EEG

2018 ◽  
Vol 21 (4) ◽  
pp. 287 ◽  
Author(s):  
Xiaofeng Liu ◽  
Bin Hu ◽  
Xiangwei Zheng ◽  
Xiaowei Li
Keyword(s):  
Facial Expression ◽  
Permutation Entropy ◽  
Multi Scale

Detecting the Flow Pattern Transition in the Gas-Liquid Two-Phase Flow Using Multivariate Multi-Scale Entropy Analysis

2019 ◽  
Vol 74 (10) ◽  
pp. 837-848 ◽  
Author(s):  
Yudong Liu ◽  
Dayang Wang ◽  
Yingyu Ren ◽  
Ningde Jin
Keyword(s):  
Flow Pattern ◽  
Two Phase Flow ◽  
Flow Patterns ◽  
Mean Value ◽  
Entropy Rate ◽  
Permutation Entropy ◽  
Phase Flow ◽  
Two Phase ◽  
Multi Scale ◽  
Flow Pattern Transition

AbstractDue to the complex flow structure and non-uniform phase distribution in the vertical upward gas-liquid two-phase flow, an eight-electrode rotating electric field conductance sensor is used to obtain multi-channel conductance signals. The flow patterns of the vertical upward gas-liquid two-phase flow are classified according to the images obtained from a high-speed camera. Then, we employ the multivariate weighted multi-scale permutation entropy (MWMPE) to detect the instability of flow pattern transition in the gas-liquid two-phase flow. Afterwards, we compare the results of the MWMPE with those of the single-channel weighted multi-scale permutation entropy (SCWMPE) and multivariate multi-scale sample entropy (MMSE). The comparison results indicate that, compared with the SCWMPE and MMSE, the MWMPE has superior performance in terms of the high-resolution presentation of flow instability in the gas-liquid two-phase flow. Finally, we extract the mean value of the MWMPE in whole scales and the entropy rate of the MWMPE in the small scales. The results indicate that the normalized mean value and normalized entropy rate of MWMPE are very sensitive to the transitions of flow patterns, thus allowing the detection of the instability of flow pattern transition.

scholarly journals The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 170 ◽  
Author(s):  
Xianzhi Wang ◽  
Shubin Si ◽  
Yu Wei ◽  
Yongbo Li
Keyword(s):  
Time Delay ◽  
Parameter Selection ◽  
Permutation Entropy ◽  
Embedding Dimension ◽  
Optimization Strategy ◽  
Extraction Ability ◽  
Dynamic Changes ◽  
Multi Scale ◽  
Simulated Signal ◽  
Selection Of

Multi-scale permutation entropy (MPE) is a statistic indicator to detect nonlinear dynamic changes in time series, which has merits of high calculation efficiency, good robust ability, and independence from prior knowledge, etc. However, the performance of MPE is dependent on the parameter selection of embedding dimension and time delay. To complete the automatic parameter selection of MPE, a novel parameter optimization strategy of MPE is proposed, namely optimized multi-scale permutation entropy (OMPE). In the OMPE method, an improved Cao method is proposed to adaptively select the embedding dimension. Meanwhile, the time delay is determined based on mutual information. To verify the effectiveness of OMPE method, a simulated signal and two experimental signals are used for validation. Results demonstrate that the proposed OMPE method has a better feature extraction ability comparing with existing MPE methods.

scholarly journals Detection of Hypoglycemia Using Measures of EEG Complexity in Type 1 Diabetes Patients

Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 81 ◽  
Author(s):  
Maria Rubega ◽  
Fabio Scarpa ◽  
Debora Teodori ◽  
Anne-Sophie Sejling ◽  
Christian S. Frandsen ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Single Channel ◽  
Permutation Entropy ◽  
Eeg Signals ◽  
Scalp Eeg ◽  
Power Spectral ◽  
Eeg Changes ◽  
Eeg Recordings ◽  
Clamp Study

Previous literature has demonstrated that hypoglycemic events in patients with type 1 diabetes (T1D) are associated with measurable scalp electroencephalography (EEG) changes in power spectral density. In the present study, we used a dataset of 19-channel scalp EEG recordings in 34 patients with T1D who underwent a hyperinsulinemic–hypoglycemic clamp study. We found that hypoglycemic events are also characterized by EEG complexity changes that are quantifiable at the single-channel level through empirical conditional and permutation entropy and fractal dimension indices, i.e., the Higuchi index, residuals, and tortuosity. Moreover, we demonstrated that the EEG complexity indices computed in parallel in more than one channel can be used as the input for a neural network aimed at identifying hypoglycemia and euglycemia. The accuracy was about 90%, suggesting that nonlinear indices applied to EEG signals might be useful in revealing hypoglycemic events from EEG recordings in patients with T1D.

The experimental signals analysis for bubbly oil-in-water flow using multi-scale weighted-permutation entropy

2015 ◽  
Vol 417 ◽  
pp. 230-244 ◽  
Author(s):  
Xin Chen ◽  
Ning-De Jin ◽  
An Zhao ◽  
Zhong-Ke Gao ◽  
Lu-Sheng Zhai ◽  
...  
Keyword(s):  
Water Flow ◽  
Permutation Entropy ◽  
Multi Scale ◽  
Oil In Water

scholarly journals Multi-scale order recurrence quantification analysis of EEG signals evoked by manual acupuncture in healthy subjects

2012 ◽  
Vol 7 (1) ◽  
pp. 79-88 ◽  
Author(s):  
Guosheng Yi ◽  
Jiang Wang ◽  
Hongrui Bian ◽  
Chunxiao Han ◽  
Bin Deng ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Recurrence Quantification Analysis ◽  
Manual Acupuncture ◽  
Eeg Signals ◽  
Multi Scale ◽  
Recurrence Quantification ◽  
Quantification Analysis
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