Literature DB >> 25570557

A new on-line electrocardiographic records database and computer routines for data analysis.

Carlos A Ledezma, Erika Severeyn, Gilberto Perpiñán, Miguel Altuve, Sara Wong.   

Abstract

Gathering experimental data to test computer methods developed during a research is a hard work. Nowadays, some databases have been stored online that can be freely downloaded, however there is not a wide range of databases yet and not all pathologies are covered. Researchers with low resources are in need of more data they can consult for free. To cope with this we present an on-line portal containing a compilation of ECG databases recorded over the last two decades for research purposes. The first version of this portal contains four databases of ECG records: ischemic cardiopathy (72 patients, 3-lead ECG each), ischemic preconditioning (20 patients, 3-lead ECG each), diabetes (51 patients, 8-lead ECG each) and metabolic syndrome (25 subjects, 12-lead ECG each). In addition, one computer program and three routines are provided in order to correctly read the signals, and two digital filters along with two ECG waves detectors are provided for further processing. This portal will be constantly growing, other ECG databases and signal processing software will be uploaded. With this project, we give the scientific community a resource to avoid hours of data collection and to develop free software.

Entities:  

Mesh:

Year:  2014        PMID: 25570557     DOI: 10.1109/EMBC.2014.6944189

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Cardiac autonomic modulation in response to a glucose stimulus.

Authors:  Gilberto Perpiñan; Erika Severeyn; Sara Wong; Miguel Altuve
Journal:  Med Biol Eng Comput       Date:  2018-10-22       Impact factor: 2.602

2.  ECG data compression using a neural network model based on multi-objective optimization.

Authors:  Bo Zhang; Jiasheng Zhao; Xiao Chen; Jianhuang Wu
Journal:  PLoS One       Date:  2017-10-03       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.