to determine surgical ability. To this aim a sensory glove was employed to track surgical hand movements and sensors data were recorded to be processed by a specific algorithm. The classification task was able to discriminate a gesture made by an expert surgeon with respect to a novice one, thanks to a two steps classification strategy. The first one produced a binary tree of parameters associated to a sensor time function; they were elaborated in the second step by a neural network providing a real output whose magnitude was associated to the surgeon ability. Experimental tests correctly classify all operators in a group.
Advanced algorithms for surgical gesture classification / Santosuosso, Giovanni Luca; Saggio, Giovanni; Sorà, F; Sbernini, L; Di Lorenzo, Nicola. - (2014), pp. 3596-3600. ( IEEE International Conference on Acustics, Speech and Signal Processimg, ICASSP 2014 Florence, Italy ) [10.1109/ICASSP.2014.6854271].
Advanced algorithms for surgical gesture classification
DI LORENZO, NICOLA
2014
Abstract
to determine surgical ability. To this aim a sensory glove was employed to track surgical hand movements and sensors data were recorded to be processed by a specific algorithm. The classification task was able to discriminate a gesture made by an expert surgeon with respect to a novice one, thanks to a two steps classification strategy. The first one produced a binary tree of parameters associated to a sensor time function; they were elaborated in the second step by a neural network providing a real output whose magnitude was associated to the surgeon ability. Experimental tests correctly classify all operators in a group.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
