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Towards an Objective Tool for Evaluating the Surgical Skill

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Book cover Computational Intelligence (IJCCI 2014)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 620))

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Abstract

In this paper we present a system for the evaluation of the skill of a physician or physician student by means of the analysis of the movements of the hand. By comparing these movements to the ones of a set of subjects known to be skilled, we could tell if they are correct. We consider the execution of a typical surgical task: the suture. For the data acquisition we used the HiTEg sensory glove, then, we extract a set of features from data analysis and classify it by means of different kind of classifiers. We compared results from an RBF neural network and a Bayesian classifier. The system has been tested on a set of 18 subjects. We found that accuracy depends on the feature set that is used, and it can reach 94 % when we consider a set of 20 features: 9 of them are taken from data of bending sensor, 10 from accelerometers and gyroscopes, and one feature is the length of the gesture.

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Author information

Authors and Affiliations

  1. Departemet of Electronic a Engineering, University of Rome “Tor Vergata”, Rome, Italy

    Giovanni Costantini, Giovanni Saggio & Daniele Casali

  2. Department of Experimental Medicine and Surgery, Tor Vergata University, Rome, Italy

    Laura Sbernini & Nicola Di Lorenzo

Authors
  1. Giovanni Costantini
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  2. Giovanni Saggio
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  3. Laura Sbernini
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  4. Nicola Di Lorenzo
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  5. Daniele Casali
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Corresponding author

Correspondence to Daniele Casali .

Editor information

Editors and Affiliations

  1. Ingenería Informática, Escuela Técnica Superior de, Granada, Spain

    Juan Julian Merelo

  2. aSEEB-ISR-IST, Technical University of Lisbon (IST), Lisbon, Portugal

    Agostinho Rosa

  3. Facultad de Informática, University of Murcia, Murcia, Spain

    José M. Cadenas

  4. University of Coimbra, Coimbra, Portugal

    António Dourado

  5. Images, Signals and Intelligence, University PARIS-EST Créteil (UPEC), Créteil, France

    Kurosh Madani

  6. Instituto Politécnico de Setúbal (IPS), Setúbal, Portugal

    Joaquim Filipe

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© 2016 Springer International Publishing Switzerland

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Costantini, G., Saggio, G., Sbernini, L., Di Lorenzo, N., Casali, D. (2016). Towards an Objective Tool for Evaluating the Surgical Skill. In: Merelo, J.J., Rosa, A., Cadenas, J.M., Dourado, A., Madani, K., Filipe, J. (eds) Computational Intelligence. IJCCI 2014. Studies in Computational Intelligence, vol 620. Springer, Cham. https://doi.org/10.1007/978-3-319-26393-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-26393-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26391-5

  • Online ISBN: 978-3-319-26393-9

  • eBook Packages: EngineeringEngineering (R0)

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