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Published in: Medical & Biological Engineering & Computing 3/2013

01-03-2013 | Original Article

Intraoperative forces and moments analysis on patient head clamp during awake brain surgery

Authors: Danilo De Lorenzo, Elena De Momi, Lorenzo Conti, Emiliano Votta, Marco Riva, Enrica Fava, Lorenzo Bello, Giancarlo Ferrigno

Published in: Medical & Biological Engineering & Computing | Issue 3/2013

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Abstract

In brain surgery procedures, such as deep brain stimulation, drug-resistant epilepsy and tumour surgery, the patient is intentionally awakened to map functional neural bases via electrophysiological assessment. This assessment can involve patient’s body movements; thus, increasing the mechanical load on the head-restraint systems used for keeping the skull still during the surgery. The loads exchanged between the head and the restraining device can potentially result into skin and bone damage. The aim of this work is to assess such loads for laying down the requirements of a surgical robotics system for dynamic head movements compensation by fast moving arms and by an active restraint able to damp such actions. A Mayfield® head clamp was tracked and instrumented with strain gages (SGs). SG locations were chosen according to finite element analyses. During an actual brain surgery, displacements and strains were measured and clustered according to events that generated them. Loads were inferred from strain data. The greatest force components were exerted vertically (median 5.5 N, maximum 151.87 N) with frequencies up to 1.5 Hz. Maximum measured displacement and velocity were 9 mm and 60 mm/s, with frequencies up to 2.8 Hz. The analysis of loads and displacements allowed to identify the surgery steps causing maximal loads on the head-restraint device.

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Metadata
Title
Intraoperative forces and moments analysis on patient head clamp during awake brain surgery
Authors
Danilo De Lorenzo
Elena De Momi
Lorenzo Conti
Emiliano Votta
Marco Riva
Enrica Fava
Lorenzo Bello
Giancarlo Ferrigno
Publication date
01-03-2013
Publisher
Springer-Verlag
Published in
Medical & Biological Engineering & Computing / Issue 3/2013
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-012-1002-9

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