Quality estimation of the electrocardiogram using cross-correlation among leads-Reference-Cited by-同舟云学术

Quality estimation of the electrocardiogram using cross-correlation among leads

Published:2015-06-20 Issue:1 Volume:14 Page:
ISSN:1475-925X
Container-title:BioMedical Engineering OnLine
language:en
Short-container-title:BioMed Eng OnLine

Author:

Morgado Eduardo,Alonso-Atienza Felipe,Santiago-Mozos Ricardo,Barquero-Pérez Óscar,Silva Ikaro,Ramos Javier,Mark Roger

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1186/s12938-015-0053-1

Reference44 articles.

1. Xia H, Garcia GA, Bains J, Wortham DC, Zhao X. Matrix of regularity for improving the quality of ECGs. Physiol Meas. 2012;33(9):1535–48.

2. Silva I, Moody GB, Celi L. Improving the quality of ECGs collected using mobile phones: the PhysioNet/Computing in cardiology challenge. In: Computing in cardiology. 2011. pp. 273–6.

3. Xia H, Garcia GA, McBride JC, Sullivan A, De Bock T, Bains J, et al. Computer algorithms for evaluating the quality of ECGs in real time. In: Computing in cardiology. 2011. pp. 369–72.

4. Clifford GD, Lopez D, Li Q, Rezek I. Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments. In: Computing in cardiology. 2011. pp. 285–8.

5. Kalkstein N, Kinar Y, Na’aman M, Neumark N, Akiva P. Using machine learning to detect problems in ECG data collection. In: Computing in cardiology. 2011. pp. 437–40.

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria;Medical & Biological Engineering & Computing;2023-04-03

2. A Two-Step Approach to Overcoming Data Imbalance in the Development of an Electrocardiography Data Quality Assessment Algorithm: A Real-World Data Challenge;Biomimetics;2023-03-13

3. Multiple ECG segments denoising autoencoder model;Biomedical Engineering / Biomedizinische Technik;2023-02-01

4. An Automatic ECG Signal Quality Assessment Method Based on Resnet and Self-Attention;Applied Sciences;2023-01-18

5. A deformable CNN architecture for predicting clinical acceptability of ECG signal;Biocybernetics and Biomedical Engineering;2023-01