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Dynamic Study Of Intelligent Identification And Intervention Of Human Heart-brain System

Posted on:2020-05-15Degree:MasterType:Thesis
Country:ChinaCandidate:X HuangFull Text:PDF
GTID:2370330575958996Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of technology,intelligent systems such as artificial intelligence have gradually surpassed humans in some specialized fields.However,how to make intelligent systems work for people,help people to understand themselves,observe and intervene their own abnormalities is people's concern,that's the point of the question.The heart and brain are the two most important organs of the human body.There have been quite a lot of researches on the identification and intervention of these two organs,but their experimental exploration often has different physiological characteristics of different people,and there are standard problems and individualization.The problem cannot cover all the anomalies.Therefore,it is very meaningful to design an observation system of a physiological system based on the definition of physiological essence,and to identify abnormalities or obstacles of the physiological system based on the observation system.In this paper,the system of human heart and brain is called the human heart-brain system.The human heart-brain system is the research object,which surrounds the autism and epilepsy caused by the abnormal connection of neurons,and studies its observation system and The relationship between its own physiological dynamics system.In this paper,a hypothesis about the formation mechanism of autism and a design scheme for early warning and intervention of epilepsy are proposed.As traditional features are easily deceived by counterfeit physiological features,the pulse wave signals generated by heart pulsation are explored and their uniqueness and consistency as identity authentication are explored.Finally,in order to solve the problems of observation and intervention experiments caused by the standardization of different individuals and the differentiation of the same individual,this paper implements the design of target detection system based on neural network calculation and eye fatigue based on fatigue definition based on physiological definition.The design of the inspection system is based on which the classification criteria for the fatigue rating are given.
Keywords/Search Tags:heart-brain dynamics system, physiological definition, identification and intervention, autism hypothesis, epilepsy intervention, pulse wave authentication, eye movement trajectory, fatigue detection
PDF Full Text Request
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