Browse > Article
http://dx.doi.org/10.9728/dcs.2016.17.2.97

Technique for the ECG Bio-sounds Visualization Analysis Based on the MIT-BIH Database  

Kim, Jong-Wook (Jeonbuk National University Division of Convergence Technology Engineering)
Lee, Myoung-Jin (Sangji University School of Computer and Information Engineering)
Ko, Kwang-Man (Sangji University School of Computer and Information Engineering)
So, Kyoung-Young (Jeonbuk National University Division of Convergence Technology Engineering)
Publication Information
Journal of Digital Contents Society / v.17, no.2, 2016 , pp. 97-103 More about this Journal
Abstract
This work introduces techniques experienced for the electrocardiogram(ECG) visual analysis, able to characterize the major parameters and events with clinical relevance for heart failure management and cardiovascular risk assessment. In particular, it includes approaches for ECG data visual processing such as the variable charts, graphs base on the complex MIT-BIH ECG database. Through the experienced this works of ECG database visualization, so many researcher more easily access the complex ECG database and can intuitionally understand the meanings via a variable ECG visualized data.
Keywords
Eletrocardiogram; Data Visualization; Ubuntu Linux; Physionet MIT-BIH;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Henriques, T. Rocha, S. Paredes, R. Cabiddu, D. Mendes, R. Couceiro, P. Carvalho, "ECG analysis tool for heart failure management and cardiovascular risk assessment," Int'l Conf. Health Informatics and Medical Systems(HIMS2015), pp.195-200, July 2015.
2 Electrocardiography, http://https://en.wikipedia.org/wiki/Electrocardiography
3 Welcome to ECGpedia, http://http://en.ecgpedia.org/wiki/Main_Page
4 A. Jonathan Garza, B. Sishir Subedi, C. Yuntian Zhang and D. Hong Lin, "A Web-Based System for EEG Data Visualization and Analysis," Int'l Conf. Health Informatics and Medical Systems(HIMS2015), pp.119-124, July 2015.
5 Andrew V. Poliakov, Evan Albright, Kevin P. Hinshaw, David P. Corina, George Ojemann, Richard F. Martin, James F. Brinkley. "Server-based Approach to Web Visualization of Integrated Three-dimensional Brain Imaging Data," Journal of the American Medical Informatics Association, Vol. 12, No. 2, pp.140-151, Mar 2005.   DOI
6 Lourenco, A., Placido da Silva, H., Carreiras, C., Priscila Alves, A., L. N. Fred, A. "A web-based platformfor biosignal visualization and annotation," Multimedia Tools and Applications, Vol. 70, No. 1, pp.433-460, May 2014.   DOI
7 Physionet, http://www.physionet.org
8 Physiobank, http://www.physionet.org/physiobank
9 PhysioToolkit, http://www.physionet.org/physiotool
10 MIT-BIH ECG Database,