Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation
Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation
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DOI：
10.1038/s41551-016-0025
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发表时间：
2017-02-01
影响因子：
28.1
通讯作者：
Aszmann, Oskar C.
中科院分区：
文献类型：
--
作者：
Farina, Dario;Vujaklija, Ivan;Aszmann, Oskar C.
上肢假肢的直观控制需要直接利用生物信号的人机界面。在这里，我们定义并实验测试了一个利用脊髓运动神经元放电时序的离线人/机界面。运动神经元行为是通过对肩部或肱骨截肢患者缺失肢体的神经重新支配的肌肉的电活动进行反卷积来识别的。我们通过直接比例控制、模式识别和肌肉骨骼建模的离线应用，将一系列运动神经元放电映射为跨多个自由度的控制命令。对六名患者进行的一系列实验表明，与目标肌肉神经支配后应用的传统直接肌电图控制相比，人机界面具有优越的离线性能。外科手术、解码和映射成有效命令的组合构成了与脊髓电路输出层的接口，允许直观地控制多个自由度。
The intuitive control of upper-limb prostheses requires a man/machine interface that directly exploits biological signals. Here, we define and experimentally test an offline man/machine interface that takes advantage of the discharge timings of spinal motor neurons. The motor-neuron behaviour is identified by deconvolution of the electrical activity of muscles reinnervated by nerves of a missing limb in patients with amputation at the shoulder or humeral level. We mapped the series of motor-neuron discharges into control commands across multiple degrees of freedom via the offline application of direct proportional control, pattern recognition and musculoskeletal modelling. A series of experiments performed on six patients reveal that the man/machine interface has superior offline performance compared with conventional direct electromyographic control applied after targeted muscle innervation. The combination of surgical procedures, decoding and mapping into effective commands constitutes an interface with the output layers of the spinal cord circuitry that allows for the intuitive control of multiple degrees of freedom.