|本期目录/Table of Contents|

[1]熊艳,陈宇,蒋文涛,等.基于Hadoop的心电数据库存储研究[J].生物医学工程研究,2016,03:175-177.
　XIONG Yan,CHEN Yu,JIANG Wentao,et al.Research on ECG Database Storage Technology based on the Hadoop[J].Journal of Biomedical Engineering Research,2016,03:175-177.
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基于Hadoop的心电数据库存储研究(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2016年03期
页码:
175-177
栏目:
出版日期:
2016-09-25

文章信息/Info

Title:
Research on ECG Database Storage Technology based on the Hadoop
文章编号:
1672-6278 (2016)03-0175-03
作者:
熊艳; 陈宇; 蒋文涛; 王冠石; 舒敬恒
1.四川大学制造与工程学院，创新方法与创新设计实验室，成都 610065；2.四川大学工程力学系，生物力学工程实验室，成都 610065
Author(s):
XIONG Yan;  CHEN Yu;  JIANG Wentao;  WANG Guanshi;  SHU Jingheng
1.School of Manufacturing Science & Engineering, Sichuan University, Chengdu 610065，China；2.Department of Applied Mechanics, Sichuan University, Chengdu 610065
关键词:
NoSQL; Hadoop; 心电数据; HBase; 存储技术; HIVE
Keywords:
NoSQL;  Hadoop;  ECG data;  HBase;  Storage technology;  HIVE
分类号:
R318
DOI:
-
文献标识码:
A
摘要:
本文旨在研究远程监控心血管疾病时，产生的心电大数据的存储方式。采用Hadoop分布式集群技术，设计基于HBase非关系型（NoSQL）心电数据库，测试存储时间和访问效率，解决心电大数据的存储问题。经测试，HBase数据库的存储时间、访问时间、存储的高可靠性，均满足心电数据的存储要求。本研究为后续进行心血管大数据分析、统计、数据挖掘打下基础。
Abstract:
To study the storage technology for ECG big data which produced when monitoring cardiovascular disease remotely. Using Hadoop distributed cluster technology, the ECG database based on HBase NoSQL was designed, and the storage time and access efficiency were tested, then the storage problems in ECG big data were solved. Hadoop satisfied the requirements of storage time, access time and high reliability of ECG data storage after testing. This study lays the foundation for the analysis, statistics, data mining of big data in the future.

参考文献/References

备注/Memo

备注/Memo:
国家自然科学基金资助项目（51205262）；四川省科技厅应用基础研究项目(2014JY0148）。通信作者Email:yu_chen@scu.edu.cn(收稿日期：2016-05-04)
更新日期/Last Update: 2017-01-12