A method to evaluate skill transfer and acquisition of obstetric gestures based on the curvatures analysis of the position and the orientation

  • Authors:
  • R. Moreau;V. Ochoa;M. T. Pham;P. Boulanger;T. Redarce;O. Dupuis

  • Affiliations:
  • Laboratoire Ampère, UMR CNRS 5005, INSA-Lyon, Villeurbanne, F-69621, France;AMMI Lab, Department of Computing Science, University of Alberta, Edmonton, Albt., Canada T6G2E8;Laboratoire Ampère, UMR CNRS 5005, INSA-Lyon, Villeurbanne, F-69621, France;AMMI Lab, Department of Computing Science, University of Alberta, Edmonton, Albt., Canada T6G2E8;Laboratoire Ampère, UMR CNRS 5005, INSA-Lyon, Villeurbanne, F-69621, France;Hospices Civils de Lyon (HCL), CHU Lyon Sud, 69495 Pierre-Bénite, France

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2008

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Abstract

This paper focuses on the gesture analysis in order to compare two human gestures. The orientations and the positions of the gestures are both taken into account and the similarity rate between two gestures is calculated. In our case, the application is in obstetrics and the aim is to evaluate forceps blade placement. The method is based on the curvature analysis of the paths during the gesture. The 3-D position paths are expressed according to their cumulated chord length and the orientation paths in the quaternion unit space. These parameterizations lead to analyze data in space independently to time as requested by physicians. After filtering data in order to minimize sensor noises, the gestures are then compared by calculating the correlation between the position and the orientation curvatures of a novice gesture and an expert one. The results clearly show that novice skills in handling forceps increase in becoming smoother and closer to the reference placement. A childbirth simulator allows novices to acquire experience without any risks, however the training have to be completed with the extraction gesture evaluation and a compulsory training period in the delivery ward.