Analysis And Application Of Large Data Based On Remote ECG Interpretation

With the application of information technology is more and more widely,the information system of health care in the field of medical precipitation data,the past is limited to the basic hardware computing speed limit,cannot be in a very long time to capture,manage and deal with conventional software tools.With the hardware upgrading of equipment and new data processing logic design,processing and mining massive data possible,big data analysis has become a hot industry in current medical application combined with information technology.In 2015 the government work report,"Internet plus" action plan is put forward for the first time,the concept of big data analysis to rise from the pure theoretical research to the policy level,the research and application of artificial intelligence in 2017 government work report made emphasis on the introduction of the policy for the promotion and Application of large data analysis and artificial intelligence technology specification the direction from the macro level,more conducive to the later research achievements transformation and industrialization.Under this background,the research field of artificial intelligence and big data analysis will change rapidly,massive disorderly data cleaning and transformation through data mining,to be used for machine learning knowledge system,based on a large number of ECG data,a software system can gradually learn to interpret the electrocardiogram,in-depth analysis and research data machine learning,the results will be in personal health,medical support,public health and other fields play an important role.With the help of deep data mining access to information,the interpretation decision-making requires a large amount of case support,ECG equipment research and development requires a lot of data support and scientific research need to book data support,the doctor met difficult ECG history data when the data mining results can be transformed into information database to provide more accurate and more efficient data support.The level of interpretation can be even more than ECG experts.This paper is divided into two parts,the first part of the distributed storage,data cleaning,data mining technology is more mature,to achieve the effective integration of scattered data,and can extract ECG data,by making the software model of deep learning history of ECG data and self optimization model is applied to the remote application form ECG interpretation.Secondly,through the calculation of the model were compared,characteristics of complex high degree of the language used to describe in detail from the remote ECG data in the large sample properties of tissue identification of artificial intelligence method,automatic interpretation of ECG data.The second part is realized by software function,build intelligent ECG interpretation model interpretation platform based on its features include user interface,business logic,data storage and statistical analysis management system.Through the system architecture design and business model matching,to achieve artificial intelligence gradually replace most of the manual interpretation of the target,to maximize the application of research results to promote.This thesis is supported by government and units of various resources in the process of writing,including financial support and closely involved in the professional team of doctors,to further ensure the writing process and the accuracy of the data center power professional professional degree,provide a strong guarantee and fall and Application on later research.