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基于脑皮层电图记录植入物WIMAGINE®和创新信号处理技术的CLINATEC®脑机接口平台:临床前研究结果

CLINATEC® BCI platform based on the ECoG-recording implant WIMAGINE® and the innovative signal-processing: preclinical results.

作者信息

Eliseyev Andrey, Mestais Corinne, Charvet Guillaume, Sauter Fabien, Abroug Neil, Arizumi Nana, Cokgungor Serpil, Costecalde Thomas, Foerster Michael, Korczowski Louis, Moriniere Boris, Porcherot Jean, Pradal Jeremy, Ratel David, Tarrin Nicolas, Torres-Martinez Napoleon, Verney Alexandre, Aksenova Tetiana, Benabid Alim-Louis

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:1222-5. doi: 10.1109/EMBC.2014.6943817.

Abstract

The goal of the CLINATEC® Brain Computer Interface (BCI) Project is to improve tetraplegic subjects' quality of life by allowing them to interact with their environment through the control of effectors, such as an exoskeleton. The BCI platform is based on a wireless 64-channel ElectroCorticoGram (ECoG) recording implant WIMAGINE®, designed for long-term clinical application, and a BCI software environment associated to a 4-limb exoskeleton EMY (Enhancing MobilitY). Innovative ECoG signal decoding algorithms will allow the control of the exoskeleton by the subject's brain activity. Currently, the whole BCI platform was tested in real-time in preclinical experiments carried out in nonhuman primates. In these experiments, the exoskeleton arm was controlled by means of the decoded neuronal activity.

摘要

CLINATEC®脑机接口(BCI)项目的目标是通过让四肢瘫痪患者控制诸如外骨骼等效应器与环境互动,从而改善他们的生活质量。该BCI平台基于一款专为长期临床应用设计的无线64通道皮质脑电图(ECoG)记录植入设备WIMAGINE®,以及一个与四肢外骨骼EMY(增强移动性)相关的BCI软件环境。创新的ECoG信号解码算法将使受试者能够通过大脑活动控制外骨骼。目前,整个BCI平台已在针对非人灵长类动物进行的临床前实验中进行了实时测试。在这些实验中,外骨骼手臂通过解码的神经元活动进行控制。

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