Analysis of electromyograms recorded using invasive and noninvasive electrodes: a study based on entropy and Lyapunov exponents estimated using artificial neural networks-Reference-Cited by-同舟云学术

Analysis of electromyograms recorded using invasive and noninvasive electrodes: a study based on entropy and Lyapunov exponents estimated using artificial neural networks

Published:2018-05-05 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Ambikapathy Bakiya,Krishnamurthy Kamalanand^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-018-0811-6.pdf

Reference48 articles.

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4. Alagumariappan P, Krishnamurthy K (2016b) An approach based on information theory for selection of systems for efficient recording of electrogastrograms. In: 3rd International Conference on Computing and Communication Systems. Springer Nature, Singapore. https://doi.org/10.1007/978-981-10-6890-4_46

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