Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics

Shockable Rhythm Detection Based on Sample Entropy

Authors
Xiaoli Yang, Zhenwei Li, Zhigang Hu
Corresponding Author
Xiaoli Yang
Available Online October 2015.
DOI
10.2991/icmii-15.2015.85How to use a DOI?
Keywords
Shockable rhythm, sample entropy, complexity
Abstract

Based on the principle that different rhythm corresponds to different levels of system complexity, study on shockable rhythm (ShR) has been conducted, especially for the sample entropy-based ShR detection method which has been compared with the established complexity method by detecting all data in the CUDB and VFDB database, the result of which suggested that this was an effective detection method for Shockable Rhythm.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-131-5
ISSN
2352-538X
DOI
10.2991/icmii-15.2015.85How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoli Yang
AU  - Zhenwei Li
AU  - Zhigang Hu
PY  - 2015/10
DA  - 2015/10
TI  - Shockable Rhythm Detection Based on Sample Entropy
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 498
EP  - 501
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.85
DO  - 10.2991/icmii-15.2015.85
ID  - Yang2015/10
ER  -