Analysis of Impact Factors of Multiscale Entropy

Teng Zhang; Yu Jin; Shixue Sun; Yinhong Liu; Xiaohua Douglas Zhang

doi:10.1109/BIBM.2018.8621400

Analysis of Impact Factors of Multiscale Entropy

Teng Zhang, Yu Jin, Shixue Sun, Yinhong Liu, Xiaohua Douglas Zhang

Biostatistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Multiscale entropy (MSE) is an algorithm to quantify the complexity of physiological dynamics system. It has been widely applied in different fields to probe into inherent information of biological signals. Although it is important for us to understand how these differences of signals patterns affect the trend of MSE, the factors impacting MSE and their mechanisms remain unclear. The aim of this study is to investigate difference of MSE for datasets with different sampling frequencies, amplitudes and waveforms. Our results demonstrate that:1) Increasing the sampling frequency will improve the resolution of MSE. 2) overall scaling of amplitude changes will not influence the MSE, while randomly amplifying the signal amplitude will influence the MSE significantly. 3) The waveforms would affect MSE hardly, especially at large scales. Our research of these affecting factors of MSE can help investigators to have a deepen comprehension of the algorithm of MSE and the meaning of multiscale when analyzing real world datasets.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Editors	Harald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
Pages	2568-2572
Number of pages	5
ISBN (Electronic)	9781538654880
DOIs	https://doi.org/10.1109/BIBM.2018.8621400
State	Published - Jan 21 2019
Event	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain Duration: Dec 3 2018 → Dec 6 2018

Publication series

Name	Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference	2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Country/Territory	Spain
City	Madrid
Period	12/3/18 → 12/6/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

amplitude
multiscale entropy
sampling frequency
waveforms

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

Access to Document

10.1109/BIBM.2018.8621400

Cite this

Zhang, T., Jin, Y., Sun, S., Liu, Y., & Zhang, X. D. (2019). Analysis of Impact Factors of Multiscale Entropy. In H. Schmidt, D. Griol, H. Wang, J. Baumbach, H. Zheng, Z. Callejas, X. Hu, J. Dickerson, & L. Zhang (Eds.), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 (pp. 2568-2572). Article 8621400 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). https://doi.org/10.1109/BIBM.2018.8621400

Zhang, Teng ; Jin, Yu ; Sun, Shixue et al. / Analysis of Impact Factors of Multiscale Entropy. Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. editor / Harald Schmidt ; David Griol ; Haiying Wang ; Jan Baumbach ; Huiru Zheng ; Zoraida Callejas ; Xiaohua Hu ; Julie Dickerson ; Le Zhang. 2019. pp. 2568-2572 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

@inproceedings{817b1c6be7f7436da2024b22aa6569c6,

title = "Analysis of Impact Factors of Multiscale Entropy",

abstract = "Multiscale entropy (MSE) is an algorithm to quantify the complexity of physiological dynamics system. It has been widely applied in different fields to probe into inherent information of biological signals. Although it is important for us to understand how these differences of signals patterns affect the trend of MSE, the factors impacting MSE and their mechanisms remain unclear. The aim of this study is to investigate difference of MSE for datasets with different sampling frequencies, amplitudes and waveforms. Our results demonstrate that:1) Increasing the sampling frequency will improve the resolution of MSE. 2) overall scaling of amplitude changes will not influence the MSE, while randomly amplifying the signal amplitude will influence the MSE significantly. 3) The waveforms would affect MSE hardly, especially at large scales. Our research of these affecting factors of MSE can help investigators to have a deepen comprehension of the algorithm of MSE and the meaning of multiscale when analyzing real world datasets.",

keywords = "amplitude, multiscale entropy, sampling frequency, waveforms",

author = "Teng Zhang and Yu Jin and Shixue Sun and Yinhong Liu and Zhang, {Xiaohua Douglas}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 ; Conference date: 03-12-2018 Through 06-12-2018",

year = "2019",

month = jan,

day = "21",

doi = "10.1109/BIBM.2018.8621400",

language = "English",

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editor = "Harald Schmidt and David Griol and Haiying Wang and Jan Baumbach and Huiru Zheng and Zoraida Callejas and Xiaohua Hu and Julie Dickerson and Le Zhang",

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Zhang, T, Jin, Y, Sun, S, Liu, Y & Zhang, XD 2019, Analysis of Impact Factors of Multiscale Entropy. in H Schmidt, D Griol, H Wang, J Baumbach, H Zheng, Z Callejas, X Hu, J Dickerson & L Zhang (eds), Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018., 8621400, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, pp. 2568-2572, 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, 12/3/18. https://doi.org/10.1109/BIBM.2018.8621400

Analysis of Impact Factors of Multiscale Entropy. / Zhang, Teng; Jin, Yu; Sun, Shixue et al.
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. ed. / Harald Schmidt; David Griol; Haiying Wang; Jan Baumbach; Huiru Zheng; Zoraida Callejas; Xiaohua Hu; Julie Dickerson; Le Zhang. 2019. p. 2568-2572 8621400 (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Teng

AU - Jin, Yu

AU - Sun, Shixue

AU - Liu, Yinhong

AU - Zhang, Xiaohua Douglas

PY - 2019/1/21

Y1 - 2019/1/21

N2 - Multiscale entropy (MSE) is an algorithm to quantify the complexity of physiological dynamics system. It has been widely applied in different fields to probe into inherent information of biological signals. Although it is important for us to understand how these differences of signals patterns affect the trend of MSE, the factors impacting MSE and their mechanisms remain unclear. The aim of this study is to investigate difference of MSE for datasets with different sampling frequencies, amplitudes and waveforms. Our results demonstrate that:1) Increasing the sampling frequency will improve the resolution of MSE. 2) overall scaling of amplitude changes will not influence the MSE, while randomly amplifying the signal amplitude will influence the MSE significantly. 3) The waveforms would affect MSE hardly, especially at large scales. Our research of these affecting factors of MSE can help investigators to have a deepen comprehension of the algorithm of MSE and the meaning of multiscale when analyzing real world datasets.

AB - Multiscale entropy (MSE) is an algorithm to quantify the complexity of physiological dynamics system. It has been widely applied in different fields to probe into inherent information of biological signals. Although it is important for us to understand how these differences of signals patterns affect the trend of MSE, the factors impacting MSE and their mechanisms remain unclear. The aim of this study is to investigate difference of MSE for datasets with different sampling frequencies, amplitudes and waveforms. Our results demonstrate that:1) Increasing the sampling frequency will improve the resolution of MSE. 2) overall scaling of amplitude changes will not influence the MSE, while randomly amplifying the signal amplitude will influence the MSE significantly. 3) The waveforms would affect MSE hardly, especially at large scales. Our research of these affecting factors of MSE can help investigators to have a deepen comprehension of the algorithm of MSE and the meaning of multiscale when analyzing real world datasets.

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BT - Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

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A2 - Zheng, Huiru

A2 - Callejas, Zoraida

A2 - Hu, Xiaohua

A2 - Dickerson, Julie

A2 - Zhang, Le

T2 - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Y2 - 3 December 2018 through 6 December 2018

ER -

Zhang T, Jin Y, Sun S, Liu Y, Zhang XD. Analysis of Impact Factors of Multiscale Entropy. In Schmidt H, Griol D, Wang H, Baumbach J, Zheng H, Callejas Z, Hu X, Dickerson J, Zhang L, editors, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. 2019. p. 2568-2572. 8621400. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018). doi: 10.1109/BIBM.2018.8621400

Analysis of Impact Factors of Multiscale Entropy

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

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