Decoding with limited neural data: a mixture of time-warped trajectory models for directional reaches.
Decoding with limited neural data: a mixture of time-warped trajectory models for directional reaches.
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DOI：
10.1088/1741-2560/9/3/036002
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发表时间：
2012-06
影响因子：
4
通讯作者：
Körding KP
中科院分区：
文献类型：
--
作者：
Corbett EA;Perreault EJ;Körding KP
神经假体装置有望让瘫痪患者完成日常生活的必要功能。然而，为了允许患者使用这些工具，有必要从神经信号如肌电图（emg）中解码他们的意图。因为这些信号是有噪声的，所以最先进的解码器会随着时间的推移整合信息。这样做的一个系统的方法是通过使用所谓的轨迹模型来考虑身体状态的自然演变。在这里，我们使用两个关于运动的见解来增强我们的轨迹模型：(1)在任何给定的时间，都有一小部分可能的运动目标，这些目标可能通过凝视来识别；河段以不同的速度产生。我们利用脊髓损伤患者的肌肉肌电图来解码自然到达运动。通过跟踪眼球运动发现的目标估计值被纳入轨迹模型，而混合模型则解释了这些估计值中固有的不确定性。利用对到达速度的连续估计及时翘曲轨迹模型，可以对更快的到达进行准确解码。我们发现，选择更丰富的轨迹模型，比如那些结合目标或速度的模型，可以改善解码，特别是当有少量的肌电信号可用时。
Neuroprosthetic devices promise to allow paralyzed patients to perform the necessary functions of everyday life. However, to allow patients to use such tools it is necessary to decode their intent from neural signals such as electromyograms (EMGs). Because these signals are noisy, state of the art decoders integrate information over time. One systematic way of doing this is by taking into account the natural evolution of the state of the body—by using a so-called trajectory model. Here we use two insights about movements to enhance our trajectory model: (1) at any given time, there is a small set of likely movement targets, potentially identified by gaze; (2) reaches are produced at varying speeds. We decoded natural reaching movements using EMGs of muscles that might be available from an individual with spinal cord injury. Target estimates found from tracking eye movements were incorporated into the trajectory model, while a mixture model accounted for the inherent uncertainty in these estimates. Warping the trajectory model in time using a continuous estimate of the reach speed enabled accurate decoding of faster reaches. We found that the choice of richer trajectory models, such as those incorporating target or speed, improves decoding particularly when there is a small number of EMGs available.
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DOI：
10.1109/tnsre.2007.906958
发表时间：
2008-02-01
影响因子：
4.9
作者：
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发表时间：
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期刊：
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DOI：
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发表时间：
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影响因子：
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