Application of a motion capture data glove for hand and wrist ergonomic analysis during laparoscopy

Abstract

Objectives: This study aims to analyze the surgeons’ hand spatial configuration during the use of two different instrument handles for laparoscopy, by obtaining information from the data glove CyberGlove®, and establishing existing risk levels for wrist disorders. Material and methods: Fifty surgeons participated in this study and were distributed into three groups (novices, intermediate and experts). Each subject carried out suturing and dissection tasks on a physical simulator, using axial-handled or ring-handled instruments, respectively. Hand and wrist positions were registered by the CyberGlove® and a modified RULA method was applied to establish appropriate risk levels for wrist disorders. Results: We found statistically significant differences in seven of the eleven glove sensors when comparing both tasks. RULA method showed that all subjects, with the exception of the experts using an axial-handled instrument, assume a prejudicial wrist posture during the practice of suturing and dissection tasks on the simulator. Conclusions: Data glove CyberGlove® allows for the distinction between two laparoscopic exercises performed with different instruments. Also, laparoscopic intracorporeal suturing when performed with an axial-handled needle holder entails a more ergonomic posture for the wrist joint. Previous minimally invasive surgical experience is a positive influencing factor on the surgeons’ wrist postures during laparoscopy.