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上肢神经假体的非侵入性控制:脑电模式的时间编码

Non-invasive control of neuroprostheses for the upper extremity: temporal coding of brain patterns.

作者信息

Muller-Putz Gernot R, Scherer Reinhold, Pfurtscheller Gert, Neuper Christa, Rupp Rudiger

机构信息

Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3353-6. doi: 10.1109/IEMBS.2009.5333185.

DOI:10.1109/IEMBS.2009.5333185
PMID:19964077
Abstract

Spinal cord injury (SCI) results in deficits of sensory, motor and autonomous functions, with tremendous consequences for the patients. The loss of motor functions, especially grasping, leads to a dramatic decrease in quality of life. With the help of neuroprostheses, the grasp function can be substantially improved in cervical SCI patients. Nowadays, systems for grasp restoration can only be used by patients with preserved voluntary shoulder and elbow function. In patients with lesions above the 5th vertebra, not only the voluntary movements of the elbow are restricted, but also the overall number of preserved movements available for control purposes decreases. A Brain-Computer Interface (BCI) offers a method to overcome this problem. This work gives an overview of the Graz BCI used for the control of grasp neuroprostheses as well as a new control method for combining grasp and elbow function is introduced.

摘要

脊髓损伤(SCI)会导致感觉、运动和自主功能障碍,给患者带来巨大影响。运动功能的丧失,尤其是抓握功能的丧失,会导致生活质量大幅下降。借助神经假体,颈椎脊髓损伤患者的抓握功能可得到显著改善。目前,用于恢复抓握功能的系统仅适用于保留了自主肩部和肘部功能的患者。对于第5颈椎以上损伤的患者,不仅肘部的自主运动受到限制,而且可用于控制目的的保留运动总数也会减少。脑机接口(BCI)提供了一种解决这一问题的方法。本文概述了用于控制抓握神经假体的格拉茨脑机接口,并介绍了一种将抓握和肘部功能相结合的新控制方法。

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