Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis
Decoding Information From Neural Signals Recorded Using Intraneural Electrodes: Toward the Development of a Neurocontrolled Hand Prosthesis
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DOI：
10.1109/jproc.2009.2038726
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发表时间：
2010-03-01
影响因子：
20.6
通讯作者：
Rossini, Paolo Maria
中科院分区：
文献类型：
--
作者：
Micera, Silvestro;Citi, Luca;Rossini, Paolo Maria
通过使用与神经系统的直接连接来控制灵巧手假体的可能性对于患者生活质量的显著改善特别感兴趣，这可以从这一成就中获得。在各种方法中，基于外周神经的神经束内电极是优秀的神经接口候选者，代表了高选择性和相对低的侵入性之间的优秀折衷。此外，这种方法已经在人类志愿者中进行了初步测试，并显示出了希望。在本文中，我们调查是否可以使用神经束内电极解码多个感官和运动信息通道，目的是开发一种有限状态算法，可用于控制神经假体和神经控制的手假肢。在动物和人体实验中取得的结果表明，多个部位记录和先进的信号处理技术（如小波去噪和尖峰排序算法）的组合可用于识别感官刺激（在动物模型中）和运动命令（在人类志愿者中）。这些发现具有有趣的意义，应该在未来的实验中进行研究。
The possibility of controlling dexterous hand prostheses by using a direct connection with the nervous system is particularly interesting for the significant improvement of the quality of life of patients, which can derive from this achievement. Among the various approaches, peripheral nerve based intrafascicular electrodes are excellent neural interface candidates, representing an excellent compromise between high selectivity and relatively low invasiveness. Moreover, this approach has undergone preliminary testing in human volunteers and has shown promise. In this paper, we investigate whether the use of intrafascicular electrodes can be used to decode multiple sensory and motor information channels with the aim to develop a finite state algorithm that may be employed to control neuroprostheses and neurocontrolled hand prostheses. The results achieved both in animal and human experiments show that the combination of multiple sites recordings and advanced signal processing techniques (such as wavelet denoising and spike sorting algorithms) can be used to identify both sensory stimuli (in animal models) and motor commands (in a human volunteer). These findings have interesting implications, which should be investigated in future experiments.