首页> 外文会议>Biomedical Science amp; Engineering Conference, 2009. BSEC 2009 >“Decoding neural activity from an intracortical implant in humans with tetraplegia”
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“Decoding neural activity from an intracortical implant in humans with tetraplegia”

机译:“解码四肢瘫痪患者皮层内植入物的神经活动”

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Summary form only given. This work was part of a pilot clinical study that involved the placement of an intracortical implant in the primary motor cortex of human subjects. The study, the first of its kind, involved the implantation of a 96 electrode array in the human brain for up to a full year. The work described here involved two of the subjects in the study, one of which was a stroke victim, and the other had ALS. Both subjects were tetraplegic and also unable to speak. The intent of this work was to determine if intended/imagined movements would evoke neural activity that could be successfully decoded and allow the subjects to control various devices in their environment and communicate through a personal computer. Neural decoding algorithms were developed to interpret the intracortical activity in the primary motor cortex of both subjects. Adaptive support vector machine methods were developed and employed during this study. A large set of intended/imagined movements was successfully decoded and discriminated between with the first subject. Also, both imagined shoulder and wrist movements were decoded in the second subject. Finally, the algorithms developed in this work allowed, for the first time, control of a motorized wheelchair through intended/imagined movements in a human with an intracortical electrode array implant.
机译:仅提供摘要表格。这项工作是一项临床试验研究的一部分,该临床试验涉及将皮质内植入物放置在人类受试者的初级运动皮层中。这项研究尚属首次,涉及在人脑中植入96个电极阵列长达整整一年的时间。此处描述的工作涉及研究中的两个主题,其中一个是中风的受害者,另一个是ALS。两个受试者均为四肢瘫痪,也无法说话。这项工作的目的是确定预期/想象的动作是否会引起可以成功解码的神经活动,并允许受试者控制其环境中的各种设备并通过个人计算机进行通信。开发了神经解码算法来解释两个受试者的初级运动皮层的皮质内活动。在这项研究中开发并采用了自适应支持向量机方法。大量预期/想象的动作已成功解码,并与第一个对象区分开。同样,在第二个对象中解码了想象中的肩膀和腕部运动。最终,这项工作中开发的算法首次允许通过皮质内电极阵列植入物在人体内进行预期/想象的运动来控制电动轮椅。

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