Detection of chaos in human fatigue mechanomyogarphy signals

Hong Bo Xie; Yongping Zheng; Guo Jing-Yi

doi:10.1109/IEMBS.2009.5333485

Detection of chaos in human fatigue mechanomyogarphy signals

Hong Bo Xie, Yongping Zheng, Guo Jing-Yi

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

10 Citations (Scopus)

Abstract

We undertake the study of the chaotic nature of mechanomygraphy (MMG) signal by recourse to the recent developments in the field of nonlinear dynamics. The MMG signals were measured from biceps brachii muscle of 5 subjects during fatigue of isometric contraction at 80% maximal voluntary contraction (MVC) level. Deterministic chaotic character was detected in all data by using the Volterra-Wiener-Korenberg model and noise titration approach. The noise limit (NL), which is a power indicator of chaos of fatigue MMG signals, is 22.2000±8.7293. Furthermore, we studied the nonlinear dynamic features of MMG signals by computing their correlation dimension D2, which is 3.3524±0.3645 across all the subjects. These results indicate that MMG is a high-dimensional chaotic signal and support the use of the theory of nonlinear dynamics for the analysis and modeling the MMG signals.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Engineering the Future of Biomedicine, EMBC 2009
Publisher	IEEE Computer Society
Pages	4379-4382
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5333485
Publication status	Published - 1 Jan 2009
Event	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States Duration: 2 Sept 2009 → 6 Sept 2009

Conference

Conference	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country/Territory	United States
City	Minneapolis, MN
Period	2/09/09 → 6/09/09

ASJC Scopus subject areas

Cell Biology
Developmental Biology
Biomedical Engineering
General Medicine

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10.1109/IEMBS.2009.5333485

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Xie, H. B., Zheng, Y., & Jing-Yi, G. (2009). Detection of chaos in human fatigue mechanomyogarphy signals. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 4379-4382). Article 5333485 IEEE Computer Society. https://doi.org/10.1109/IEMBS.2009.5333485

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abstract = "We undertake the study of the chaotic nature of mechanomygraphy (MMG) signal by recourse to the recent developments in the field of nonlinear dynamics. The MMG signals were measured from biceps brachii muscle of 5 subjects during fatigue of isometric contraction at 80% maximal voluntary contraction (MVC) level. Deterministic chaotic character was detected in all data by using the Volterra-Wiener-Korenberg model and noise titration approach. The noise limit (NL), which is a power indicator of chaos of fatigue MMG signals, is 22.2000±8.7293. Furthermore, we studied the nonlinear dynamic features of MMG signals by computing their correlation dimension D2, which is 3.3524±0.3645 across all the subjects. These results indicate that MMG is a high-dimensional chaotic signal and support the use of the theory of nonlinear dynamics for the analysis and modeling the MMG signals.",

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Xie, HB, Zheng, Y & Jing-Yi, G 2009, Detection of chaos in human fatigue mechanomyogarphy signals. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5333485, IEEE Computer Society, pp. 4379-4382, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2/09/09. https://doi.org/10.1109/IEMBS.2009.5333485

Detection of chaos in human fatigue mechanomyogarphy signals. / Xie, Hong Bo; Zheng, Yongping; Jing-Yi, Guo.
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, 2009. p. 4379-4382 5333485.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Detection of chaos in human fatigue mechanomyogarphy signals

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