Dept. of Neurology, University Campus Bio-Medico, Rome, Italy.
Clin Neurophysiol. 2010 May;121(5):777-83. doi: 10.1016/j.clinph.2010.01.001. Epub 2010 Jan 27.
The principle underlying this project is that, despite nervous reorganization following upper limb amputation, original pathways and CNS relays partially maintain their function and can be exploited for interfacing prostheses. Aim of this study is to evaluate a novel peripheral intraneural multielectrode for multi-movement prosthesis control and for sensory feed-back, while assessing cortical reorganization following the re-acquired stream of data.
Four intrafascicular longitudinal flexible multielectrodes (tf-LIFE4) were implanted in the median and ulnar nerves of an amputee; they reliably recorded output signals for 4 weeks. Artificial intelligence classifiers were used off-line to analyse LIFE signals recorded during three distinct hand movements under voluntary order.
Real-time control of motor output was achieved for the three actions. When applied off-line artificial intelligence reached >85% real-time correct classification of trials. Moreover, different types of current stimulation were determined to allow reproducible and localized hand/fingers sensations. Cortical organization was observed via TMS in parallel with partial resolution of symptoms due to the phantom-limb syndrome (PLS).
tf-LIFE4s recorded output signals in human nerves for 4 weeks, though the efficacy of sensory stimulation decayed after 10 days. Recording from a number of fibres permitted a high percentage of distinct actions to be classified correctly. Reversal of plastic changes and alleviation of PLS represent corollary findings of potential therapeutic benefit.
This study represents a breakthrough in robotic hand use in amputees.
本项目的基本原则是,尽管上肢截肢后会出现神经重组,但原始通路和中枢神经系统中继仍部分保留其功能,并可用于假肢接口。本研究旨在评估一种新型周围神经内多电极,用于多运动假体控制和感觉反馈,同时评估重新获得数据流后的皮质重组。
将四个神经内纵列柔性多电极(tf-LIFE4)植入一名截肢者的正中神经和尺神经中;它们可靠地记录了 4 周的输出信号。人工智能分类器在线下用于分析在自愿命令下进行的三个不同手部运动期间记录的 LIFE 信号。
实现了三种动作的电机输出的实时控制。当离线应用时,人工智能达到了>85%的实时正确分类试验的准确率。此外,确定了不同类型的电流刺激,以允许可重复和局部的手部/手指感觉。同时进行 TMS 观察皮质组织,同时由于幻肢综合征(PLS)部分缓解症状。
tf-LIFE4 在人体神经中记录了 4 周的输出信号,但 10 天后感觉刺激的效果会下降。从多个纤维进行记录可以正确分类高比例的不同动作。塑性变化的逆转和 PLS 的缓解是潜在治疗益处的相关发现。
本研究代表了假肢使用者在机器人手使用方面的突破。