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Erschienen in: Medical & Biological Engineering & Computing 8/2013

01.08.2013 | Original Article

The role of hand motion connectivity in the performance of laparoscopic procedures on a virtual reality simulator

verfasst von: Constantinos Loukas, Constantinos Rouseas, Evangelos Georgiou

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 8/2013

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Abstract

Assessment of surgical skills based on virtual reality (VR) technology has received major attention in recent years, with special focus placed on experience discrimination via hand motion analysis. Although successful, this approach is restricted from extracting additional important information about the trainee’s hand kinematics. In this study, we investigate the role of hand motion connectivity in the performance of a laparoscopic cholecystectomy on a VR simulator. Two groups were considered: experienced residents and beginners. The connectivity pattern of each subject was evaluated by analyzing their hand motion signals with multivariate autoregressive (MAR) models. Our analysis included the entire as well as key phases of the operation. The results revealed that experienced residents outperformed beginners in terms of the number, magnitude and covariation of the MAR weights. The magnitude of the coherence spectra between different combinations of hand signals was in favor of the experienced group. Yet, the more challenging (in terms of hand movement activity) an operational phase was, the more connections were generated, with experienced subjects performing more coordinated gestures per phase. The proposed approach provides a suitable basis for hand motion analysis of surgical trainees and could be utilized in future VR simulators for skill assessment.

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Metadaten
Titel
The role of hand motion connectivity in the performance of laparoscopic procedures on a virtual reality simulator
verfasst von
Constantinos Loukas
Constantinos Rouseas
Evangelos Georgiou
Publikationsdatum
01.08.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 8/2013
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-013-1063-4

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