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Surface-Based Electromyography Gesture Profiling of Laparoscopic Tools Using a Wearable Sensor

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Part of the IFMBE Proceedings book series (IFMBE,volume 82)

Abstract

This study explores surface-based electromyography (sEMG) to evaluate the effects of tool handling and fatigue on the muscle activation of laparoscopy surgeons. Specifically, the Myo Armband is used because it is a wearable, unobtrusive, and wireless sensor. Collected EMG signatures showed that more complex gestures have more active muscle groups. For the fatigued state, analysis of the signatures using the RMS feature showed that for more complex gestures, RMS increased because of muscle compensation due to fatigue. Accuracy exercise findings showed that there is a decrease in %accuracy when using an endoscope compared to when looking directly and there is a slight decrease in %accuracy once fatigue is induced. 100% accuracy cannot be reached due to awkward tool handling. Through various experiments, this study presented possible methods to evaluate the effects of tool handling and fatigue on the muscle activation of surgeons through use of sEMG. Analysis of these signatures may lead to better understanding on how specific tool design affects muscle activity and muscle fatigue, and to utilize this as a basis for a more ergonomic laparoscopic set-up and tool design.

Keywords

  • Laparoscopic surgery
  • Ergonomics
  • Surface-based electromyography
  • Myo Armband
  • Motion-based

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  • DOI: 10.1007/978-3-030-66169-4_5
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References

  1. Reyes, D.A.G., Tang, B., Cuschieri, A.: Minimal access surgery (MAS)-related surgeon morbidity syndromes. Surg. Endosc. 20, 1–13 (2006)

    CrossRef  Google Scholar 

  2. Berguer, R., Forkey, D.L., Smith, W.D.: Ergonomic problems associated with laparoscopic surgery. Surg. Endosc. 13, 466–468 (1998)

    CrossRef  Google Scholar 

  3. Supe, A., Kulkarni, G., Supe, P.: Ergonomics in laparoscopic surgery. J. Min. Access Surg. 6(2), 31–36 (2010)

    CrossRef  Google Scholar 

  4. Lee, K., Jung, M.: Ergonomic evaluation of biomechanical hand function. Saf. Health Work 6, 9–17 (2015)

    CrossRef  Google Scholar 

  5. Susic, A., Lulic, T., Veljovic, F.: Ergonomic evaluation of task execution: surface electromyography in muscular activity screening. Periodicum Biologorum 112(1), 33–38 (2010)

    Google Scholar 

  6. Bolingot, H., Abrajano, G., Libatique, N., Salvana, M., Reyes, D., Tangonan, G., Ngeo, J., Shibata, T.: Simulated laparoscopic training and measurement systems based on a low-cost sEMG and IMU Armband. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2017)

    Google Scholar 

  7. Chang, J., Chablat, D., Bennis, F., Ma, L.: Estimating the EMG response exclusively to fatigue during sustained static maximum voluntary contraction. In: Goonetilleke, R., Karwowski, W. (eds.) Advances in Physical Ergonomics and Human Factors. Advances in Intelligent Systems and Computing, vol. 489, pp. 29–39. Springer, Cham (2016)

    CrossRef  Google Scholar 

  8. Cao, L., Wang, Y., Hao, D., Rong, Y., Yang, L., Zhang, S., Zheng, D.: Effects of force load, muscle fatigue and magnetic stimulation on surface electromyography during side arm lateral raise task: a preliminary study with healthy subjects. Biomed. Res. Int. 2017(4), 1–9 (2017)

    Google Scholar 

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Correspondence to Ingrid Salud .

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Salud, I., Bolingot, H.J., Macaraig, L.C., Libatique, N., Tangonan, G. (2021). Surface-Based Electromyography Gesture Profiling of Laparoscopic Tools Using a Wearable Sensor. In: Shiraishi, Y., Sakuma, I., Naruse, K., Ueno, A. (eds) 11th Asian-Pacific Conference on Medical and Biological Engineering. APCMBE 2020. IFMBE Proceedings, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-030-66169-4_5

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  • DOI: https://doi.org/10.1007/978-3-030-66169-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66168-7

  • Online ISBN: 978-3-030-66169-4

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