Multiscale entropy analysis of surface electromyographic signals as a prognostic indicator for subtle functional impairment of urethral sphincter

2015 ◽  
Author(s):  
Hsien-Tsai Wu ◽  
Wen-Yao Pan ◽  
Chun-Wei Liu ◽  
Hann-Chorng Kuo ◽  
Yuan-Hong Jiang
Keyword(s):  
Functional Impairment ◽  
Prognostic Indicator ◽  
Multiscale Entropy ◽  
Urethral Sphincter ◽  
Entropy Analysis ◽  
Electromyographic Signals

scholarly journals Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 264
Author(s):  
Ben-Yi Liau ◽  
Fu-Lien Wu ◽  
Keying Zhang ◽  
Chi-Wen Lung ◽  
Chunmei Cao ◽  
...  
Keyword(s):  
Soft Tissues ◽  
Linear Analysis ◽  
Multiscale Entropy ◽  
Ultrasound Images ◽  
Entropy Analysis ◽  
Nonlinear Complexity ◽  
Human Movements ◽  
Before And After ◽  
Walking Performance ◽  
Linear And Nonlinear

Walking performance is usually assessed by linear analysis of walking outcome measures. However, human movements consist of both linear and nonlinear complexity components. The purpose of this study was to use bidimensional multiscale entropy analysis of ultrasound images to evaluate the effects of various walking intensities on plantar soft tissues. Twelve participants were recruited to perform six walking protocols, consisting of three speeds (slow at 1.8 mph, moderate at 3.6 mph, and fast at 5.4 mph) for two durations (10 and 20 min). A B-mode ultrasound was used to assess plantar soft tissues before and after six walking protocols. Bidimensional multiscale entropy (MSE2D) and the Complexity Index (CI) were used to quantify the changes in irregularity of the ultrasound images of the plantar soft tissues. The results showed that the CI of ultrasound images after 20 min walking increased when compared to before walking (CI4: 0.39 vs. 0.35; CI5: 0.48 vs. 0.43, p < 0.05). When comparing 20 and 10 min walking protocols at 3.6 mph, the CI was higher after 20 min walking than after 10 min walking (CI4: 0.39 vs. 0.36, p < 0.05; and CI5: 0.48 vs. 0.44, p < 0.05). This is the first study to use bidimensional multiscale entropy analysis of ultrasound images to assess plantar soft tissues after various walking intensities.

scholarly journals Multiscale Entropy Analysis on Human Operating Behavior

Entropy ◽  
2015 ◽  
Vol 18 (1) ◽  
pp. 3 ◽  
Author(s):  
Junshan Pan ◽  
Hanping Hu ◽  
Xiang Liu ◽  
Yong Hu
Keyword(s):  
Multiscale Entropy ◽  
Entropy Analysis

Refined generalized multiscale entropy analysis for physiological signals

2018 ◽  
Vol 490 ◽  
pp. 975-985 ◽  
Author(s):  
Yunxiao Liu ◽  
Youfang Lin ◽  
Jing Wang ◽  
Pengjian Shang
Keyword(s):  
Physiological Signals ◽  
Multiscale Entropy ◽  
Entropy Analysis

scholarly journals Multiscale Entropy Analysis of EEG for Assessment of Post-Cardiac Arrest Neurological Recovery Under Hypothermia in Rats

2009 ◽  
Vol 56 (4) ◽  
pp. 1023-1031 ◽  
Author(s):  
Xiaoxu Kang ◽  
Xiaofeng Jia ◽  
Romergryko G. Geocadin ◽  
Nitish V. Thakor ◽  
Anil Maybhate
Keyword(s):  
Cardiac Arrest ◽  
Neurological Recovery ◽  
Multiscale Entropy ◽  
Entropy Analysis
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