@inproceedings{ac5fc39542c94c1e8989989855e5d754,
title = "Semiautomatic validation of RR time series in an ECG stress test database",
abstract = "This paper reports an automatic method for characterizing the quality of the RR-time series in the stress test database known as DICARDIA. The proposed methodology is simple and consists in subdividing the RR time series in a set of windows for estimating the quantity of artifacts based on a threshold value that depends on the standard deviation of RR-time series for each recorded lead. In a first stage, a manual annotation was performed considering four quality classes for the RR-time series (Reference lead, Good Lead, Low Quality Lead and Useless Lead). Automatic annotation was then performed varying the number of windows and threshold value for the standard deviation of the RR-time series. The metric used for evaluating the quality of the annotation was the Matching Ratio. The best results were obtained using a higher number of windows and considering only three classes (Good Lead, Low Quality Lead and Useless). The proposed methodology allows the utilization of the online available DICARDIA Stress Test database for different types of research.",
keywords = "Cardiovascular Autonomic Neuropathy, Dicardia, RR, Stress Test ECG",
author = "Jairo Armijos and David Garci{\'a} and Darwin Astudillo and Kenneth Palacio-Baus and Rub{\'e}n Medina and Sara Wong",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015 ; Conference date: 17-11-2015 Through 19-11-2015",
year = "2015",
doi = "10.1117/12.2214314",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Garcia-Arteaga, \{Juan D.\} and Jorge Brieva and Natasha Lepore and Eduardo Romero",
booktitle = "11th International Symposium on Medical Information Processing and Analysis",
}