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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 4/2016

01.04.2016 | Original Article

Impact of delay on telesurgical performance: study on the robotic simulator dV-Trainer

verfasst von: Manuela Perez, Song Xu, Sanket Chauhan, Alyssa Tanaka, Khara Simpson, Haidar Abdul-Muhsin, Roger Smith

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 4/2016

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Abstract

Purpose

To determine the impact of communication latency on telesurgical performance using the robotic simulator dV-Trainer\(^{\textregistered }\)

Methods

Surgeons were enrolled during three robotic congresses. They were randomly assigned to a delay group (ranging from 100 to 1000 ms). Each group performed three times a set of four exercises on the simulator: the first attempt without delay (Base) and the last two attempts with delay (Warm-up and Test). The impact of different levels of latency was evaluated.

Results

Thirty-seven surgeons were involved. The different latency groups achieved similar baseline performance with a mean task completion time of 207.2 s (\(p>0.05\)). In the Test stage, the task duration increased gradually from 156.4 to 310.7 s as latency increased from 100 to 500 ms. In separate groups, the task duration deteriorated from Base for latency stages at delays \(\ge \)300 ms, and the errors increased at 500 ms and above (\(p\,<\) 0.05). The subjects’ performance tended to improve from the Warm-up to the Test period. Few subjects completed the tasks with a delay higher than 700 ms.

Conclusion

Gradually increasing latency has a growing impact on performances. Measurable deterioration of performance begins at 300 ms. Delays higher than 700 ms are difficult to manage especially in more complex tasks. Surgeons showed the potential to adapt to delay and may be trained to improve their telesurgical performance at lower-latency levels.
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Metadaten
Titel
Impact of delay on telesurgical performance: study on the robotic simulator dV-Trainer
verfasst von
Manuela Perez
Song Xu
Sanket Chauhan
Alyssa Tanaka
Khara Simpson
Haidar Abdul-Muhsin
Roger Smith
Publikationsdatum
01.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 4/2016
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-015-1306-y

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