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Intelligent Platform For Structural Fusion Of Electronic Biology

Posted on:2020-08-21Degree:MasterType:Thesis
Country:ChinaCandidate:J C XieFull Text:PDF
GTID:2370330590997060Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Biology has good ability of movement,environment adaptation,information perception and learning.Microelectronic equipment has high efficiency of data processing,data storage,data communication and good controllability.The electronic biology formed by the combination of organisms and electronic equipment can simultaneously possess good motion ability,information acquisition and processing ability and controllability,thus completing various complex tasks.In order to achieve a good combination of organisms and electronic equipment,a platform designed and implemented in this paper can provide experimental basis for the combination of organisms and electronic equipment.The platform has the functions of multi-dimensional information acquisition,data storage,nerve stimulation,wireless networking communication and so on.It provides hardware basis for information acquisition,data processing and biological motion control of the electronic biology.The platform uses a dedicated nerve signal acquisition chip RHD2216 to collect neural signals of organisms,uses a MEMS motion sensor MPU9250 to detect the movement posture of organisms,uses a GNSS positioning chip to collect the position data of organisms,builds a precise controllable current source and realizes a programmable multi-channel nerve electrical stimulator with a multi-channel analog selector,uses micro SD card and FAT file system to store a large amount of data in real time,and uses GPRS communication network to monitor electronic biology.The experimental results show that the intelligent platform of electronic biological structure fusion designed and implemented in this paper can effectively collect the biological nerve signal,attitude data and position data,and can control the biological movement and behavior.
Keywords/Search Tags:Neural signal Acquisition, Neural Stimulation, Quaternion
PDF Full Text Request
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