Robust neural decoding of reaching movements for prosthetic systems

机译：假肢系统达到运动的鲁棒神经解码

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A new neural prosthetic decoder architecture is presented which uses a hidden Markov model of typical arm movements to assist the reconstruction of intended trajectories from an ensemble of neural signals. The use of such a model results in a decoder which is robust to fewer or smaller neural signals. With limited information, the average error of the reconstructed trajectories produced by the robust decoder is half of that produced by the standard linear filter approach.

机译：提出了一种新的神经假体解码器体系结构，该体系结构使用典型手臂运动的隐马尔可夫模型来帮助从神经信号集合中重建预期的轨迹。这种模型的使用导致了对较少或较小的神经信号具有鲁棒性的解码器。在信息有限的情况下，鲁棒解码器产生的重构轨迹的平均误差是标准线性滤波器方法产生的重构轨迹的平均误差的一半。

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《Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE》|2003年|p.2079-2082|共4页
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Kemere; C.; Sahani; M.; Meng; T.;
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中图分类无线电电子学、电信技术;
关键词
decoding; prosthetics; hidden Markov models; neural nets; neurophysiology; neural prosthetic decoder; hidden Markov model; arm movements; neural signals; reconstructed trajectories;

机译：解码;假肢;隐马尔可夫模型;神经网络;神经生理学;神经假体解码器;隐马尔可夫模型;手臂运动;神经信号;重构轨迹;

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1. Reading the mind to move the body Decoding neural signals of intention and movement should guide the development of neural prosthetics [J] . Pruszynski J. Andrew, Diedrichsen Joern Science . 2015,第6237期

机译：阅读使身体运动的思维解码意图和运动的神经信号应指导神经假肢的发展
2. Non-Invasive BCI for the Decoding of Intended Arm Reaching Movement in Prosthetic Limb Control [J] . Ching-Chang Kuo, Jessica L. Knight, Chelsea A. Dressel, American Journal of Biomedical Engineering . 2012,第4期

机译：非侵入性BCI用于假肢控制中预期手臂伸入运动的解码
3. Decoding movement intent from human premotor cortex neurons for neural prosthetic applications. [J] . Ojakangas CL, Shaikhouni A, Friehs GM, Journal of Clinical Neurophysiology . 2006,第6期

机译：从人类运动前皮层神经元解码运动意图，以进行神经修复。
4. Model-based decoding of reaching movements for prosthetic systems [C] . Kemere C., Santhanam G., Yu B.M., Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE . -1

机译：假肢系统基于模型的伸手运动解码
5. Model-based decoding of neural signals for prosthetic interfaces. [D] . Kemere, Caleb. 2006

机译：基于模型的人工接口神经信号解码。
6. Decoding movement intent from human premotor cortex neurons for neural prosthetic applications [O] . Catherine L. Ojakangas, Ammar Shaikhouni, Gerhard M. Friehs, -1

机译：解码人类运动前皮层神经元的运动意图以用于神经修复
7. Robust neural decoding of reaching movements for prosthetic systems [O] . Caleb Kemere, Maneesh Sahani, Teresa Meng 2013

机译：假肢系统达到运动的鲁棒神经解码

Robust neural decoding of reaching movements for prosthetic systems

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