Measurement and analysis of biosignals for FES control of paralyzed patient

为了开发用于控制功能性电刺激（FES）系统的灵活的人机接口系统，本文对生物信号的测量和分析进行了如下研究：1.神经动作电位的测量和分类为了使用从外周神经获取的动作电位中包含的信息作为FES刺激器的输入，建立了以下技术。（1）使用放置在神经束上的袖带电极高精度地测量动作电位。（2）从动作电位测量序列中提取感觉事件信息的算法2.基于EEG和EOG的人机接口研究了高信噪比EEG和EOG测量方法以及从EEG和EOG测量数据中提取信息的方法，以开发FES系统的人机接口。研究了利用传感器从生物信号中获取FES控制指令（反馈信息）的方法。

For developing the flexible human-computer interface systems for controlling the Functional Electrical Stimulation (FES) system, the measurement and analysis of biosignals were investigated as follows.1.Measurement and categorization of nervous action potentialFor use of the information included in action potential acquired from peripheral nerves as the input to the FES stimulator, the following techniques were established.(1)high accuracy measurement of action potentials using cuff electrodes placed on the nerve bundle.(2)algorisms of information extraction of sensory events from measured action potential sequences2.Man-machine interface based in EEG and EOGHigh S/N EEG and EOG measurement method and the information extraction methods from measured EEG and EOG data were investigated to develop the man-machine interface for FES system.3.For the development of flexible FES system, the methods to acquire FES control commands (feedback information) from the biosignals using sensors were investigated.