Abstract
We present the first steps toward building an intelligent system to measure the workload and surgical performance of minimally invasive surgeons. This pilot study was conducted during two training courses in minimally invasive suturing, one in microsurgery and one in laparoscopic surgery. During each training activity, surgeons wore a smartwatch with the Happimeter application running on it. This system recorded a set of physiological and motion parameters during the surgical execution. We found that monitoring the surgeon’s maneuvers and physiological parameters during surgical activity has the potential to play an important role in predicting the workload and surgical performance, especially regarding physical and mental demand and the level of distraction during surgery.
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Acknowledgements
This work has been partially funded by the MISTI Global Seed Funds, “la Caixa” Foundation (LCF/PR/MIT18/11830006), Junta de Extremadura (Spain), and European Regional Development Fund (GR18199).
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Sánchez-Margallo, J.A., Gloor, P.A., Campos, J.L., Sánchez-Margallo, F.M. (2020). Measuring Workload and Performance of Surgeons Using Body Sensors of Smartwatches. In: Przegalinska, A., Grippa, F., Gloor, P. (eds) Digital Transformation of Collaboration. COINs 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-48993-9_5
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DOI: https://doi.org/10.1007/978-3-030-48993-9_5
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