The Vector Integration to Endpoint (VITE) circuit describes a real-time neural network model simulating behavioral and neurobiological properties of planned arm and hand movements by the interaction of two populations of neurons. We analyze the speed-accuracy trade-off generated by this circuit, gen
Accuracy and speed trade-off in robot-assisted surgery
β Scribed by Jung Hung Chien; Manish M. Tiwari; Irene H. Suh; Mukul Mukherjee; Shi-Hyun Park; Dmitry Oleynikov; Ka-Chun Siu
- Publisher
- Wiley (Robotic Publications)
- Year
- 2010
- Tongue
- English
- Weight
- 156 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1478-5951
- DOI
- 10.1002/rcs.336
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β¦ Synopsis
Abstract
Background
Controlling surgical task speed and maintaining accuracy are vital components of robotic surgical skills. This study was designed to investigate the relationship between accuracy and speed for robotβassisted surgical skills.
Methods
Ten participants were asked to alternately touch two circular targets with various dimensions and distances between two targets, using the da Vinci Surgical System. The design of this study was based on Fitt's law. Statistical correlations between the index of difficulty (ID) and the movement time (MT), as well as the ID and the smoothness of the movement, were analysed.
Results
A significant linear correlation between MT and ID was shown. Speed was reduced to maintain accuracy as the level of task difficulty increased. There was no significant correlation between the smoothness of the movement and ID.
Conclusions
The tradeβoff between speed and accuracy plays an important role in robotβassisted surgical proficiency. Copyright Β© 2010 John Wiley & Sons, Ltd.
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