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Minimally Invasive Surgery
Volume 2016 (2016), Article ID 5624630, 8 pages
http://dx.doi.org/10.1155/2016/5624630
Research Article

Prediction of Muscle Fatigue during Minimally Invasive Surgery Using Recurrence Quantification Analysis

Industrial Engineering, Southern Illinois University Edwardsville, Edwardsville, IL 62026, USA

Received 29 October 2015; Revised 29 February 2016; Accepted 12 April 2016

Academic Editor: Othmar Schöb

Copyright © 2016 Ali Keshavarz Panahi and Sohyung Cho. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ali Keshavarz Panahi and Sohyung Cho, “Prediction of Muscle Fatigue during Minimally Invasive Surgery Using Recurrence Quantification Analysis,” Minimally Invasive Surgery, vol. 2016, Article ID 5624630, 8 pages, 2016. doi:10.1155/2016/5624630