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Minimally Invasive Surgery
Volume 2016, Article ID 5624630, 8 pages
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.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Juliana Beneduzzi, Fernando A. M. Herbella, Francisco Schlottmann, and Marco G. Patti, “Cognitive Assessment of Surgeons During Surgical Procedures: Influence of Time and Intraoperative Complications,” World Journal of Surgery, 2018. View at Publisher · View at Google Scholar
  • Jawad Hussain, Kenneth Sundaraj, Yin Fen Low, C.K. Lam, Sebastian Sundaraj, and Md. Asraf Ali, “A systematic review on fatigue analysis in triceps brachii using surface electromyography,” Biomedical Signal Processing and Control, vol. 40, pp. 396–414, 2018. View at Publisher · View at Google Scholar
  • Erica Dolph, Crystal Krause, and Dmitry Oleynikov, “Future Robotic Systems: Microrobotics and Autonomous Robots,” Robotic-Assisted Minimally Invasive Surgery, pp. 329–335, 2018. View at Publisher · View at Google Scholar