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Authors: Giovanni Costantini 1 ; Giovanni Saggio 1 ; Laura Sbernini 2 ; Nicola Di Lorenzo 2 ; Franco Di Paolo 1 and Daniele Casali 1

Affiliations: 1 University of Tor Vergata, Italy ; 2 Tor Vergata University, Italy

ISBN: 978-989-758-054-3

Keyword(s): Neural Networks, Data Glove, Hand-Gesture, Classification, Surgery.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer-Supported Education ; Data Manipulation ; Domain Applications and Case Studies ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neuroinformatics and Bioinformatics ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: In this work we used the HiTEg data glove to measure the skill of a physician or physician student in the execution of a typical surgical task: the suture. The aim of this project is to develop a system that, analyzing the movements of the hand, could tell if they are correct. To collect a set of measurements, we asked 18 subjects to performing the same task wearing the sensory glove. Nine subjects were skilled surgeons and nine subjects were non-surgeons, every subject performed ten repetitions of the same task, for two sessions, yielding to a dataset of 36 instances. Acquired data has been processed and classified with a neural network. A feature selection has been done considering only the features that have less variance among the expert subjects. The cross-validation of the classifier shows an error of 5.6%.

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Paper citation in several formats:
Costantini, G.; Saggio, G.; Sbernini, L.; Di Lorenzo, N.; Di Paolo, F. and Casali, D. (2014). Surgical Skill Evaluation by Means of a Sensory Glove and a Neural Network.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 105-110. DOI: 10.5220/0005030301050110

@conference{ncta14,
author={Giovanni Costantini. and Giovanni Saggio. and Laura Sbernini. and Nicola Di Lorenzo. and Franco Di Paolo. and Daniele Casali.},
title={Surgical Skill Evaluation by Means of a Sensory Glove and a Neural Network},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={105-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005030301050110},
isbn={978-989-758-054-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Surgical Skill Evaluation by Means of a Sensory Glove and a Neural Network
SN - 978-989-758-054-3
AU - Costantini, G.
AU - Saggio, G.
AU - Sbernini, L.
AU - Di Lorenzo, N.
AU - Di Paolo, F.
AU - Casali, D.
PY - 2014
SP - 105
EP - 110
DO - 10.5220/0005030301050110

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