Measurement and analysis of biosignals for FES control of paralyzed patient

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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.