TY - GEN
T1 - Objective evaluation of laparoscopic surgical skills using waseda bioinstrumentation system WB-3
AU - Lin, Zhuohua
AU - Uemura, Munenori
AU - Zecca, Massimiliano
AU - Sessa, Salvatore
AU - Ishii, Hiroyuki
AU - Bartolomeo, Luca
AU - Itoh, Kazuko
AU - Tomikawa, Morimasa
AU - Odaira, Takeshi
AU - Tanoue, Kazuo
AU - Ieiri, Satoshi
AU - Konishi, Kozo
AU - Hashizume, Makoto
AU - Takanishi, Atsuo
PY - 2010
Y1 - 2010
N2 - 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 study proposes a methodology of defining a processing model to objectively evaluate surgical performance and skill expertise in the routine laparoscopic training course. Our approach is based on the analysis 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. Experimental results show that, the proposed methodology can be efficiently used both for quantitative assessment of surgical performance, and for the discrimination between expert surgeons and novices.
AB - 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 study proposes a methodology of defining a processing model to objectively evaluate surgical performance and skill expertise in the routine laparoscopic training course. Our approach is based on the analysis 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. Experimental results show that, the proposed methodology can be efficiently used both for quantitative assessment of surgical performance, and for the discrimination between expert surgeons and novices.
UR - http://www.scopus.com/inward/record.url?scp=79952978796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952978796&partnerID=8YFLogxK
U2 - 10.1109/ROBIO.2010.5723335
DO - 10.1109/ROBIO.2010.5723335
M3 - Conference contribution
AN - SCOPUS:79952978796
SN - 9781424493173
T3 - 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
SP - 247
EP - 252
BT - 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
T2 - 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010
Y2 - 14 December 2010 through 18 December 2010
ER -