Paper Info
Title
An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education.
Abstract
The traditional neurosurgical apprenticeship scheme includes the assessment of trainee's manual skills carried out by experienced surgeons. However, the introduction of surgical simulation technology presents a new paradigm where residents can refine surgical techniques on a simulator before putting them into practice in real patients. Unfortunately, in this new scheme, an experienced surgeon will not always be available to evaluate trainee's performance. For this reason, it is necessary to develop automatic mechanisms to estimate metrics for assessing manual dexterity in a quantitative way. Authors have proposed some hardware-software approaches to evaluate manual dexterity on surgical simulators. This paper presents IGlove, a wearable device that uses inertial sensors embedded on an elastic glove to capture hand movements. Metrics to assess manual dexterity are estimated from sensors signals using data processing and information analysis algorithms. It has been designed to be used with a neurosurgical simulator called Daubara NS Trainer, but can be easily adapted to another benchtop-and manikin-based medical simulators. The system was tested with a sample of 14 volunteers who performed a test that was designed to simultaneously evaluate their fine motor skills and the IGlove's functionalities. Metrics obtained by each of the participants are presented as results in this work; it is also shown how these metrics are used to automatically evaluate the level of manual dexterity of each volunteer.
Year
DOI
Venue
2017
10.3390/s17050988
SENSORS
Keywords
Field
DocType
instrumented glove,wearable technology,hand dexterity assessment,IMU sensors,surgical simulation,movement signal processing
Data processing,Trainer,Simulation,Motor skill,Wearable computer,Software,Inertial measurement unit,Engineering,Wearable technology
Journal
Volume
Issue
ISSN
17
5.0
1424-8220
Citations 
PageRank 
References 
2
0.41
11
Authors
3
Name
Order
Citations
PageRank
Lemos, J.D.131.48
A. M. Hernandez2114.37
Soto-Romero, G.332.16