@inproceedings{11c733becd8a442b99bbfd68e222696c,
title = "The New Approach for ECG Signal Quality Index Estimation on the Base of Robust Statistic",
abstract = "In this article a new method for automatic determination of the quality indicator of electrocardiographic signal (ECG) is presented. The proposed method allows to determine the time intervals in which the ECG signal is of such quality that it is possible to detect the R-waves of the electrocardiogram. The developed method is based on analysis of the median standard deviation (MAD). The method is divided into three stages: determination of variability of MAD, finding of the time intervals in which the signal is in saturation and the decision stage, on the basis of which the masking signal is created. The performance of the proposed method has been tested with using the ECG recordings taken from the MIT-BIH Noise Stress Test database and the telehealth database. The obtained results show the usefulness in location of artifacts in the ECG signal. The proposed algorithm can be useful especially in acquisition of electrophysiological signals for mobile devices for telemedicine purposes.",
keywords = "Artifacts masking, Electrocardiogram, MAD, Signal quality index",
author = "Tomasz Pander and Tomasz Przyby{\l}a",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 7th International Conference on Information Technology in Biomedicine, ITIB 2019 ; Conference date: 18-06-2019 Through 20-06-2019",
year = "2019",
doi = "10.1007/978-3-030-23762-2\_43",
language = "English",
isbn = "9783030237615",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "481--494",
editor = "Ewa Pietka and Pawel Badura and Jacek Kawa and Wojciech Wieclawek",
booktitle = "Information Technology in Biomedicine, 2019",
address = "Germany",
}