Title
Waseda Bioinstrumentation system WB-3 as a wearable tool for objective laparoscopic skill evaluation
Abstract
Performing laparoscopic surgery requires several skills which have never been required for conventional open surgery, surgeons experience difficulties in learning and mastering these techniques. Various training methods and metrics have been developed in order to assess and improve surgeon's operative abilities. While these training metrics are currently widely being used, skill evaluation methods are still far from being objective in the regular laparoscopic skill education. This paper proposes a methodology of defining a model to objectively evaluate surgical performance and skill expertise in the routine laparoscopic training course. Our approach is based on the processing of kinematic data describing the movements of surgeon's upper limbs. An ultra-miniaturized wearable motion capture system (Waseda Bioinstrumentation system WB-3), therefore, has been developed to measure and analyze these movements. The skill evaluation model was trained by using the subjects' motion features acquired from WB-3 system and further validated to classify the expertise levels of the subjects with different laparoscopic experience. An experiment for training fundamental laparoscopic psychomotor skill was elaborated by using laparoscopic box trainer. Preliminary results show that, the proposed methodology can be efficiently used both for quantitative assessment of surgical ability, and for the discrimination between expert surgeons and novices.
Year
DOI
Venue
2011
10.1109/ICRA.2011.5979622
ICRA
Keywords
Field
DocType
waseda bioinstrumentation system,wearable computers,ultra-miniaturized wearable motion capture system,objective laparoscopic skill evaluation,educational courses,surgeon upper limb,training metrics,laparoscopic surgery,biomedical equipment,wb-3 system,routine laparoscopic training course,laparoscopic box trainer,biomedical education,surgical ability,laparoscopic skill education,wearable tool,surgical performance,laparoscopic psychomotor skill,skill expertise,surgery,principal component analysis,hidden markov model,hidden markov models
Motion capture,Laparoscopic surgery,Psychomotor learning,Trainer,Biomedical education,Wearable computer,Simulation,Biomedical equipment,Control engineering,Medical physics,Quantitative assessment,Engineering
Conference
Volume
Issue
ISSN
2011
1
1050-4729
ISBN
Citations 
PageRank 
978-1-61284-386-5
6
0.86
References 
Authors
6
10
Name
Order
Citations
PageRank
Zhuohua Lin1457.74
Munenori Uemura2234.75
Massimiliano Zecca325036.68
Salvatore Sessa474277.71
Hiroyuki Ishii513328.33
Luca Bartolomeo6376.99
Kazuko Itoh77410.54
Morimasa Tomikawa8489.96
Makoto Hashizume929657.55
Atsuo Takanishi101592319.81