Rossini Luca, Rossini Paolo M
Biomedical Robotics and Biomicrosystems Laboratory, Università Campus Bio-Medico di Roma & IRCCS S.Raffaele-Pisana, Via Alvaro del Portillo 21, 00128, Italy.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:134-7. doi: 10.1109/IEMBS.2010.5627402.
Combining non-invasive monitoring of action-related brain signals with the invasive recordings of the nerve motor output could provide robust natural and bidirectional multimodal Brain-Machine interfaces. One 26 years old, right-handed male who had suffered traumatic trans-radial amputation of the left arm was connected in a bidirectional way with a robotic hand prostheses. Cortical signals related with movement programming, execution, and feed-back were recorded by non-invasive scalp electrodes to detect high-level information (i.e. onset of movement intention), while the efferent neural activity containing the low-level commands towards the missing limb was recorded from the amputated nerves by multipolar intra-neural electrodes. The aim of this article is to report advanced experiences aiming to investigate whether information on "hand-related" activities can be decoded by the combined analysis of motor-related signals simultaneously gathered via intraneural electrodes implanted into the peripheral nervous system and scalp recorded electroencephalography signals to govern a dexterous hand prosthesis using the natural neural "pathway".
将与动作相关的脑信号的非侵入性监测与神经运动输出的侵入性记录相结合，可以提供强大的自然和双向多模态脑机接口。一名26岁、右利手的男性，曾遭受左手臂创伤性经桡骨截肢，以双向方式与一个机器人手部假体相连。通过非侵入性头皮电极记录与运动编程、执行和反馈相关的皮层信号，以检测高级信息（即运动意图的开始），而通过多极神经内电极从截肢神经记录包含对缺失肢体的低级命令的传出神经活动。本文的目的是报告先进的经验，旨在研究通过对经由植入外周神经系统的神经内电极和头皮记录的脑电图信号同时收集的运动相关信号进行联合分析，是否可以解码“手部相关”活动的信息，以使用自然神经“通路”来控制灵巧的手部假体。
