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朝着用于更广泛临床应用的高性能仿生肢体发展。

Toward higher-performance bionic limbs for wider clinical use.

作者信息

Farina Dario, Vujaklija Ivan, Brånemark Rickard, Bull Anthony M J, Dietl Hans, Graimann Bernhard, Hargrove Levi J, Hoffmann Klaus-Peter, Huang He Helen, Ingvarsson Thorvaldur, Janusson Hilmar Bragi, Kristjánsson Kristleifur, Kuiken Todd, Micera Silvestro, Stieglitz Thomas, Sturma Agnes, Tyler Dustin, Weir Richard F Ff, Aszmann Oskar C

机构信息

Department of Bioengineering, Imperial College London, London, UK.

Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland.

出版信息

Nat Biomed Eng. 2023 Apr;7(4):473-485. doi: 10.1038/s41551-021-00732-x. Epub 2021 May 31.

Abstract

Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by the user as belonging to their own body. Robotic limbs can convey information about the environment with higher precision than biological limbs, but their actual performance is substantially limited by current technologies for the interfacing of the robotic devices with the body and for transferring motor and sensory information bidirectionally between the prosthesis and the user. In this Perspective, we argue that direct skeletal attachment of bionic devices via osseointegration, the amplification of neural signals by targeted muscle innervation, improved prosthesis control via implanted muscle sensors and advanced algorithms, and the provision of sensory feedback by means of electrodes implanted in peripheral nerves, should all be leveraged towards the creation of a new generation of high-performance bionic limbs. These technologies have been clinically tested in humans, and alongside mechanical redesigns and adequate rehabilitation training should facilitate the wider clinical use of bionic limbs.

摘要

大多数假肢能够灵活自主地移动,但使用者并不将其视为自身身体的一部分。机器人肢体能够比生物肢体更精确地传达有关环境的信息,但其实际性能在很大程度上受到当前机器人设备与身体接口以及在假肢和使用者之间双向传输运动和感觉信息的技术的限制。在本观点文章中,我们认为,通过骨整合实现仿生设备的直接骨骼附着、通过靶向肌肉神经支配放大神经信号、通过植入式肌肉传感器和先进算法改善假肢控制,以及通过植入外周神经的电极提供感觉反馈,都应有助于打造新一代高性能仿生肢体。这些技术已在人体上进行了临床测试,并且与机械重新设计和适当的康复训练一起,应能促进仿生肢体在更广泛的临床中的应用。

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