Article: A new way of quantifying diagnostic information from multilead electrocardiogram for cardiac disease classification

A new measure for quantifying diagnostic information from a multilead electrocardiogram (MECG) is proposed. This diagnostic measure is based on principal component (PC) multivariate multiscale sample entropy (PMMSE). The PC analysis is used to reduce the dimension of the MECG data matrix. The multivariate multiscale sample entropy is evaluated over the PC matrix. The PMMSE values along each scale are used as a diagnostic feature vector. The performance of the proposed measure is evaluated using a least square support vector machine classifier for detection and classification of normal (healthy control) and different cardiovascular diseases such as cardiomyopathy, cardiac dysrhythmia, hypertrophy and myocardial infarction. The results show that the cardiac diseases are successfully detected and classified with an average accuracy of 90.34%. Comparison with some of the recently published methods shows improved performance of the proposed measure of cardiac disease classification.

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References

1.

Whitsel E, Raghunathan T, Pearce R, Lin D, Rautaharju P, LEMAITRE R . RR interval variation, the QT interval index and risk of primary cardiac arrest among patients without clinically recognized heart disease. Eur Heart J. 2001; 22(2):165-73. DOI: 10.1053/euhj.2000.2262. View

2.

Yang H . Multiscale recurrence quantification analysis of spatial cardiac vectorcardiogram signals. IEEE Trans Biomed Eng. 2010; 58(2):339-47. DOI: 10.1109/TBME.2010.2063704. View

3.

Sharma L, Dandapat S, Mahanta A . Multichannel ECG data compression based on multiscale principal component analysis. IEEE Trans Inf Technol Biomed. 2012; 16(4):730-6. DOI: 10.1109/TITB.2012.2195322. View

4.

Dehnavi A, Farahabadi I, Rabbani H, Farahabadi A, Mahjoob M, Dehnavi N . Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network. J Res Med Sci. 2011; 16(2):136-42. PMC: 3214294. View

5.

Li Q, Rajagopalan C, Clifford G . Ventricular fibrillation and tachycardia classification using a machine learning approach. IEEE Trans Biomed Eng. 2013; 61(6):1607-13. DOI: 10.1109/TBME.2013.2275000. View

6.

Das M, Ari S . Patient-specific ECG beat classification technique. Healthc Technol Lett. 2015; 1(3):98-103. PMC: 4611171. DOI: 10.1049/htl.2014.0072. View

7.

Hasan M, Abbott D, Baumert M . Beat-to-beat vectorcardiographic analysis of ventricular depolarization and repolarization in myocardial infarction. PLoS One. 2012; 7(11):e49489. PMC: 3498118. DOI: 10.1371/journal.pone.0049489. View

8.

Bajaj V, Pachori R . Classification of seizure and non-seizure EEG signals using empirical mode decomposition. IEEE Trans Inf Technol Biomed. 2011; 16(6):1135-42. DOI: 10.1109/TITB.2011.2181403. View

9.

Manikandan M, Ramkumar B . Straightforward and robust QRS detection algorithm for wearable cardiac monitor. Healthc Technol Lett. 2015; 1(1):40-4. PMC: 4614021. DOI: 10.1049/htl.2013.0019. View

10.

Pan J, Tompkins W . A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985; 32(3):230-6. DOI: 10.1109/TBME.1985.325532. View

11.

Eriksson P, Andersen K, Swedberg K, Dellborg M . Vectorcardiographic monitoring of patients with acute myocardial infarction and chronic bundle branch block. Eur Heart J. 1997; 18(8):1288-95. DOI: 10.1093/oxfordjournals.eurheartj.a015440. View

A New Way of Quantifying Diagnostic Information from Multilead Electrocardiogram for Cardiac Disease Classification