An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education.

摘要: The traditional neurosurgical apprenticeship scheme includes the assessment of trainee's manual skills carried out by experienced surgeons. However, introduction surgical simulation technology presents a new paradigm where residents can refine techniques on simulator before putting them into practice in real patients. Unfortunately, this scheme, an surgeon will not always be available to evaluate performance. For reason, it is necessary develop automatic mechanisms estimate metrics for assessing dexterity quantitative way. Authors have proposed some hardware-software approaches simulators. This paper IGlove, wearable device that uses inertial sensors embedded elastic glove capture hand movements. Metrics assess are estimated from signals using data processing and information analysis algorithms. It has been designed used with called Daubara NS Trainer, but easily adapted another benchtop- manikin-based medical system was tested sample 14 volunteers who performed test simultaneously their fine motor IGlove's functionalities. obtained each participants presented as results work; also shown how these automatically level volunteer.