Matrix of regularity for improving the quality of ECGs

Henian Xia, Gabriel A. Garcia, Jujhar Bains, Dale Wortham, Xiaopeng Zhao

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The 12-lead electrocardiography (ECG) is the gold standard for diagnosis of abnormalities of the heart. However, the ECG is susceptible to artifacts, which may lead to wrong diagnosis and thus mistreatment. It is a clinical challenge of great significance differentiating ECG artifacts from patterns of diseases. We propose a computational framework, called the matrix of regularity, to evaluate the quality of ECGs. The matrix of regularity is a novel mechanism to fuse results from multiple tests of signal quality. Moreover, this method can produce a continuous grade, which can more accurately represent the quality of an ECG. When tested on a dataset from the Computing in Cardiology/PhysioNet Challenge 2011, the algorithm achieves up to 95% accuracy. The area under the receiver operating characteristic curve is 0.97. The developed framework and computer program have the potential to improve the quality of ECGs collected using conventional and portable devices.

Original languageEnglish (US)
Pages (from-to)1535-1548
Number of pages14
JournalPhysiological measurement
Volume33
Issue number9
DOIs
StatePublished - Sep 1 2012

Fingerprint

Electrocardiography
Artifacts
Cardiology
Congenital Heart Defects
Bioelectric potentials
Electric fuses
ROC Curve
Computer program listings
Software
Lead
Equipment and Supplies

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)

Cite this

Matrix of regularity for improving the quality of ECGs. / Xia, Henian; Garcia, Gabriel A.; Bains, Jujhar; Wortham, Dale; Zhao, Xiaopeng.

In: Physiological measurement, Vol. 33, No. 9, 01.09.2012, p. 1535-1548.

Research output: Contribution to journalArticle

Xia, Henian ; Garcia, Gabriel A. ; Bains, Jujhar ; Wortham, Dale ; Zhao, Xiaopeng. / Matrix of regularity for improving the quality of ECGs. In: Physiological measurement. 2012 ; Vol. 33, No. 9. pp. 1535-1548.
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