The Effectiveness of Using the Pearson’s Correlation Coefficient for Compression Quality Assessment: Case of ECG Signals Compression with Discrete Cosine Transform

Mustapha El Hanine, Elhassane Abdelmounim

Abstract


This work presents a comparative study which aims to validate the importance of using the Pearson’s Correlation Coefficient (PCC), for the first time in this field of research, as an effective parameter for quantitative measurement of Electrocardiogram (ECG) signal compression quality. The comparison with the Percent of Root mean squared Difference coefficient (PRD) was carried out using the Discrete Cosine Transform (DCT). The ECG signals of the three derivations DI, DII and DIII, used for the test, belong to five categories of patients with various pathologies, each category of which includes four patients. The obtained results, based on the morphology comparison of P waves, T waves and QRS complexes before compression and after reconstruction, showed that the range of values between 99.90% and 100% for the PCC, ensures a very good signal reconstruction quality with a Compression Ratio (CR) that could reach 16.

Keywords


Compression Quality (CQ); Compression Ratio (CR); ECG; PCC; DCT

References


A. Němcová, R. Smíšek, L. Maršánová, L. Smital, M. Vítek, "A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression", BioMed Research International, vol. 2018, Article ID 1868519, 26 pages, 2018. https://doi.org/10.1155/2018/1868519

V.A. Profillidis, G.N. Botzoris, "Statistical Methods for Transport Demand Modeling", doi: 10.1016/B978-0-12-811513-8.00005-4, 2019 Elsevier Inc.

M. Pallavi and H. M. Chandrashekar, "Study and analysis of ECG compression algorithms," 2016 International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2016, pp. 2028-2032, doi: 10.1109/ICCSP.2016.7754531.

W. Teng, L. Cheng and K. Zhao, "Application of kernel principal component and Pearson correlation coefficient in prediction of mine pressure failure," 2017 Chinese Automation Congress (CAC), Jinan, China, 2017, pp. 5704-5708, doi: 10.1109/CAC.2017.8243801.

J. Liu, Y. Zhang, and Q. Zhao, "Adaptive ViBe Algorithm Based on Pearson Correlation Coefficient," 2019 Chinese Automation Congress (CAC), Hangzhou, China, 2019, pp. 4885-4889, doi: 10.1109/CAC48633.2019.8997209.

M. El hanine, E. Abdelmounim, R. Haddadi and A. Belaguid, "A new simple and efficient technique for ECG compression based on leads converter and DWT coefficients thresholding," 2014 Second World Conference on Complex Systems (WCCS), Agadir, Morocco, 2014, pp. 638-643, doi: 10.1109/ICoCS.2014.7060909.

Y. Zigel, A. Cohen and A. Katz, "The weighted diagnostic distortion (WDD) measure for ECG signal compression," in IEEE Transactions on Biomedical Engineering, vol. 47, no. 11, pp. 1422-1430, Nov. 2000, doi: 10.1109/TBME.2000.880093.

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation

[Online]. 101 (23), pp. e215–e220


Full Text: PDF

Refbacks

  • There are currently no refbacks.


 

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN 2089-3272

Creative Commons Licence

This work is licensed under a Creative Commons Attribution 4.0 International License.

web analytics
View IJEEI Stats

Error. Page cannot be displayed. Please contact your service provider for more details. (2)