Recovering Motor Activation with Chronic Peripheral Nerve Computer Interface.
Recovering Motor Activation with Chronic Peripheral Nerve Computer Interface.
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DOI：
10.1038/s41598-018-32357-7
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发表时间：
2018-09-20
影响因子：
4.6
通讯作者：
Durand DM
中科院分区：
文献类型：
--
作者：
Eggers TE;Dweiri YM;McCallum GA;Durand DM
与周围神经的接口为截肢患者提供了提取运动激活和恢复感觉的能力。从周围神经系统长期提取运动激活的能力仍然是一个未解决的问题。在这项研究中，使用平面界面神经电极（FINE）进行慢性记录，以恢复受神经支配的肌肉的激活水平。将FINE植入犬的坐骨神经，并在动物在跑步机上行走时获得神经记录。在这些试验期间，同时记录周围腿筋肌肉的肌电图（EMG），并且显示神经记录不受这些肌肉的干扰或串扰。使用一种新的贝叶斯算法，从单个神经束的信号被恢复，然后与相应的下肢的目标EMG进行比较。胫骨肌束/腓肠内侧肌与腓骨肌束/胫骨前肌的相关系数分别为0.84 ± 0.07和0.61 ± 0.12。计算从肌肉到运动预测的信息传输速率（ITR）的分析对于两个源产生了大约每秒5和1比特（bps）。这种方法可以从神经记录中预测运动信号，并可用于通过与残余神经连接来驱动假体。
Interfaces with the peripheral nerve provide the ability to extract motor activation and restore sensation to amputee patients. The ability to chronically extract motor activations from the peripheral nervous system remains an unsolved problem. In this study, chronic recordings with the Flat Interface Nerve Electrode (FINE) are employed to recover the activation levels of innervated muscles. The FINEs were implanted on the sciatic nerves of canines, and neural recordings were obtained as the animal walked on a treadmill. During these trials, electromyograms (EMG) from the surrounding hamstring muscles were simultaneously recorded and the neural recordings are shown to be free of interference or crosstalk from these muscles. Using a novel Bayesian algorithm, the signals from individual fascicles were recovered and then compared to the corresponding target EMG of the lower limb. High correlation coefficients (0.84 ± 0.07 and 0.61 ± 0.12) between the extracted tibial fascicle/medial gastrocnemius and peroneal fascicle/tibialis anterior muscle were obtained. Analysis calculating the information transfer rate (ITR) from the muscle to the motor predictions yielded approximately 5 and 1 bit per second (bps) for the two sources. This method can predict motor signals from neural recordings and could be used to drive a prosthesis by interfacing with residual nerves.
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影响因子：
64.8
作者：
Ethier, C.;Oby, E. R.;Bauman, M. J.;Miller, L. E.
通讯作者：
Miller, L. E.
影响因子：
3
作者：
Pasquina, Paul F.;Evangelista, Melissa;Carvalho, A. J.;Lockhart, Joseph;Griffin, Sarah;Nanos, George;McKay, Patricia;Hansen, Morten;Ipsen, Derek;Vandersea, James;Butkus, Josef;Miller, Matthew;Murphy, Ian;Hankin, David
通讯作者：
Hankin, David
影响因子：
1.2
作者：
Dweiri, Yazan M.;Stone, Matthew A.;Durand, Dominique M.
通讯作者：
Durand, Dominique M.
影响因子：
4
作者：
Davis, T. S.;Wark, H. A. C.;Greger, B.
通讯作者：
Greger, B.
用于神经修复手术的人类正中神经束状地形图。
影响因子：
4.3
作者：
Delgado-Martínez I;Badia J;Pascual-Font A;Rodríguez-Baeza A;Navarro X
通讯作者：
Navarro X