A neurotechnological aid for semi-autonomous suction in robotic-assisted surgery.

A neurotechnological aid for semi-autonomous suction in robotic-assisted surgery.
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DOI:
10.1038/s41598-022-08063-w
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发表时间:
2022-03-16
期刊:
影响因子:
4.6
通讯作者:
Wachs JP
Wachs JP
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Barragan JA;Yang J;Yu D;Wachs JP

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机器人辅助手术的采用稳步增加,因为它提高了外科医生的灵活性和可视化。尽管有这些优势,机器人手术的成功在很大程度上取决于是否有熟练的手术助手可以与外科医生合作。随着新型医疗设备的引入,外科医生已经接管了外科助理的一些任务,以增加他们的独立性。然而,这也导致外科医生经历了更高水平的认知要求,这可能会导致性能下降。在这项工作中,我们提出了一种基于神经技术的半自主助手,以释放主要外科医生对关键支持任务:抽血的额外认知需求。为了在外科医生和机器人助手之间建立更加协同的协作,引入了一种基于脑电信号和眼球跟踪的实时认知工作负荷评估系统。计算实验表明,该方法能够有效地检测出认知负荷,准确率达到80%。然后,我们展示了如何通过使用神经技术自主助理作为一个闭合反馈环来提高手术性能,以防止高认知要求的状态。我们的发现突出了利用实时认知工作负荷评估来改善自主算法和外科医生之间的合作的潜力。
Adoption of robotic-assisted surgery has steadily increased as it improves the surgeon’s dexterity and visualization. Despite these advantages, the success of a robotic procedure is highly dependent on the availability of a proficient surgical assistant that can collaborate with the surgeon. With the introduction of novel medical devices, the surgeon has taken over some of the surgical assistant’s tasks to increase their independence. This, however, has also resulted in surgeons experiencing higher levels of cognitive demands that can lead to reduced performance. In this work, we proposed a neurotechnology-based semi-autonomous assistant to release the main surgeon of the additional cognitive demands of a critical support task: blood suction. To create a more synergistic collaboration between the surgeon and the robotic assistant, a real-time cognitive workload assessment system based on EEG signals and eye-tracking was introduced. A computational experiment demonstrates that cognitive workload can be effectively detected with an 80% accuracy. Then, we show how the surgical performance can be improved by using the neurotechnological autonomous assistant as a close feedback loop to prevent states of high cognitive demands. Our findings highlight the potential of utilizing real-time cognitive workload assessments to improve the collaboration between an autonomous algorithm and the surgeon.
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