EVA: Endoscopic Video Analysis of the surgical scene for the assessment of MIS psychomotor skills

Oropesa García, Ignacio; Sánchez González, Patricia; Sánchez Margallo, Juan Antonio; García Novoa, Jorge; Sánchez Margallo, Francisco Miguel y Gómez Aguilera, Enrique J. (2014). EVA: Endoscopic Video Analysis of the surgical scene for the assessment of MIS psychomotor skills. En: "XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013)", 25/09/2013 - 28/09/2013, Sevilla, Spain. pp. 52-56.

Descripción

Título: EVA: Endoscopic Video Analysis of the surgical scene for the assessment of MIS psychomotor skills
Autor/es:
  • Oropesa García, Ignacio
  • Sánchez González, Patricia
  • Sánchez Margallo, Juan Antonio
  • García Novoa, Jorge
  • Sánchez Margallo, Francisco Miguel
  • Gómez Aguilera, Enrique J.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013)
Fechas del Evento: 25/09/2013 - 28/09/2013
Lugar del Evento: Sevilla, Spain
Título del Libro: IFMBE Proceedings
Fecha: 2014
Volumen: 41
Materias:
Palabras Clave Informales: MIS, competence, assessment, EVA, TrEndo
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The present work covers the first validation efforts of the EVA Tracking System for the assessment of minimally invasive surgery (MIS) psychomotor skills. Instrument movements were recorded for 42 surgeons (4 expert, 22 residents, 16 novice medical students) and analyzed for a box trainer peg transfer task. Construct validation was established for 7/9 motion analysis parameters (MAPs). Concurrent validation was determined for 8/9 MAPs against the TrEndo Tracking System. Finally, automatic determination of surgical proficiency based on the MAPs was sought by 3 different approaches to supervised classification (LDA, SVM, ANFIS), with accuracy results of 61.9%, 83.3% and 80.9% respectively. Results not only reflect on the validation of EVA for skills? assessment, but also on the relevance of motion analysis of instruments in the determination of surgical competence.

Más información

ID de Registro: 26144
Identificador DC: http://oa.upm.es/26144/
Identificador OAI: oai:oa.upm.es:26144
URL Oficial: http://link.springer.com/chapter/10.1007%2F978-3-319-00846-2_13
Depositado por: Memoria Investigacion
Depositado el: 31 May 2014 11:58
Ultima Modificación: 01 Feb 2015 23:56
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