Conveying tactile feedback in sensorized hand neuroprostheses using a biofidelic model of mechanotransduction.
Conveying tactile feedback in sensorized hand neuroprostheses using a biofidelic model of mechanotransduction.
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DOI：
10.1109/tbcas.2009.2032396
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发表时间：
2009-12
影响因子：
5.1
通讯作者：
Bensmaia SJ
中科院分区：
文献类型：
--
作者：
Sung Soo Kim;Sripati AP;Vogelstein RJ;Armiger RS;Russell AF;Bensmaia SJ
从传感器化神经假体传递触觉反馈的一种方法是表征正常情况下在完整肢体中产生的神经信号，并通过对残余周围神经的电刺激来再现它们。为此，我们已经开发了一个模型，准确地复制任何动态刺激引起的神经活动，在三种类型的机械感受性传入神经支配无毛的皮肤的手。该模型将刺激的位置作为时间的函数，沿着其一阶（速度），二阶（加速度）和三阶（加加速度）导数作为输入。该输入被过滤并通过积分触发机制以生成一系列尖峰作为输出。本研究的主要结论是，由这个模型可以准确地预测的机械感受性纤维支配的手诱发的个人棘波的时间。我们讨论了如何将该模型集成到传感器假体中，并表明模拟传入神经的人群中的活动传达了手与物体之间接触的位置，时间和幅度的信息。
One approach to conveying tactile feedback from sensorized neural prostheses is to characterize the neural signals that would normally be produced in an intact limb and reproduce them through electrical stimulation of the residual peripheral nerves. Toward this end, we have developed a model that accurately replicates the neural activity evoked by any dynamic stimulus in the three types of mechanoreceptive afferents that innervate the glabrous skin of the hand. The model takes as input the position of the stimulus as a function of time, along with its first (velocity), second (acceleration), and third (jerk) derivatives. This input is filtered and passed through an integrate-and-fire mechanism to generate a train of spikes as output. The major conclusion of this study is that the timing of individual spikes evoked in mechanoreceptive fibers innervating the hand can be accurately predicted by this model. We discuss how this model can be integrated in a sensorized prosthesis and show that the activity in a population of simulated afferents conveys information about the location, timing, and magnitude of contact between the hand and an object.