Physiological Metrics of Surgical Difficulty and Multi-Task Requirement during Robotic Surgery Skills.
Physiological Metrics of Surgical Difficulty and Multi-Task Requirement during Robotic Surgery Skills.
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DOI：
10.3390/s23094354
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发表时间：
2023-04-28
期刊：
影响因子：
--
通讯作者：
Yu D
中科院分区：
文献类型：
--
作者：
Lim C;Barragan JA;Farrow JM;Wachs JP;Sundaram CP;Yu D
以前的机器人辅助手术（RAS）研究通过调节手术任务难度来研究认知工作负荷，其中许多研究依赖于自我报告的工作负荷测量。然而，贡献者及其对认知工作负荷的影响是复杂的，可能无法单独通过任务难度的变化来充分总结。本研究旨在了解多任务要求对不同任务难度下RAS认知负荷预测的影响。多模态生理信号（EEG，眼动跟踪，HRV）收集大学生进行模拟RAS任务，包括两种类型的手术任务难度下，三个不同的多任务要求水平。EEG频谱分析足够敏感，可以区分两种手术条件（手术任务难度/多任务要求）下的认知工作负荷程度。此外，眼动仪测量显示在两种条件下的差异，但显着差异的HRV观察到只有多任务的要求条件。基于多模态的神经网络模型在两种手术条件下的准确率均高达79%。
Previous studies in robotic-assisted surgery (RAS) have studied cognitive workload by modulating surgical task difficulty, and many of these studies have relied on self-reported workload measurements. However, contributors to and their effects on cognitive workload are complex and may not be sufficiently summarized by changes in task difficulty alone. This study aims to understand how multi-task requirement contributes to the prediction of cognitive load in RAS under different task difficulties. Multimodal physiological signals (EEG, eye-tracking, HRV) were collected as university students performed simulated RAS tasks consisting of two types of surgical task difficulty under three different multi-task requirement levels. EEG spectral analysis was sensitive enough to distinguish the degree of cognitive workload under both surgical conditions (surgical task difficulty/multi-task requirement). In addition, eye-tracking measurements showed differences under both conditions, but significant differences of HRV were observed in only multi-task requirement conditions. Multimodal-based neural network models have achieved up to 79% accuracy for both surgical conditions.
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DOI：
10.1518/155534307x255627
发表时间：
2007-09-01
影响因子：
2
作者：
Di Nocera, Francesco;Camilli, Marco;Terenzi, Michela
通讯作者：
Terenzi, Michela
影响因子：
3.7
作者：
Gevins, A;Smith, ME
通讯作者：
Smith, ME
DOI：
10.1016/s0735-1097(00)00595-7
发表时间：
2000-05-01
影响因子：
24
作者：
Bernardi, L;Wdowczyk-Szulc, J;Sleight, P
通讯作者：
Sleight, P
影响因子：
3.7
作者：
Beda, Alessandro;Jandre, Frederico C.;Simpson, David M.
通讯作者：
Simpson, David M.
影响因子：
2.1
作者：
Diaz-Piedra, Carolina;Sanchez-Carrion, Jose M.;Di Stasi, Leandro L.
通讯作者：
Di Stasi, Leandro L.