Abstract
Cardiovascular diseases are one of the main causes of death in the world, as a result much efforts have been made to detect early ischemia. Traditionally changes produced in the ST or STT segments of the heartbeat were analyzed. The main difficulty relies on alterations produced in the ST or STT segment because of non ischemic events, such as changes in the heart rate, the ventricular conduction or the cardiac electrical axis. The aim of this work is to differentiate between ischemic and heart rate related events using the information provided by the continuous wavelet transform of the electrocardiogram. To evaluate the performance of the classifier, the Long Term ST Database was used, with ischemic and non ischemic differentiated events annotated by specialists. The analysis was performed over 77 events (52 ischemic and 25 heart rate related), obtaining a sensitivity and positive predictivity of 86.64% for both indicators.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dranca, L., Goñi, A., Illarramendi, A.: Real-time detection of transient cardiac ischemic episodes from ECG signals. Physiol. Meas. 30(9), 983–998 (2009). https://doi.org/10.1088/0967-3334/30/9/009. http://stacks.iop.org/0967-3334/30/i=9/a=009?key=crossref.1157bd7b62f6b629cd7c959dbbe0f186
Gamero, L.G., Vila, J., Palacios, F.: Wavelet transform analysis of heart rate variability during myocardial ischaemia. Med. Biol. Eng. Comput. 40(1), 72–78 (2002). https://doi.org/10.1007/BF02347698
García, J., Sörnmo, L., Olmos, S., Laguna, P.: Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring. IEEE Transact. Biomed. Eng. 47(9), 1195–1201 (2000). https://doi.org/10.1109/10.867943
Goldberger, A., et al.: PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 23, e215–e220 (2000)
Jager, F., Moody, G.B., Mark, R.G.: Detection of transient ST segment episodes during ambulatory ECG monitoring. Comput. Biomed. Res. Int. J. 31(5), 305–322 (1998). https://doi.org/10.1006/cbmr.1998.1483
Jager, F.: ST analysis. In: Advanced Methods and Tools for ECG Data Analysis, chap. 10, pp. 269–290. Artech House (2006)
Jager, F., et al.: Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia. Med. Biol. Eng. Comput. 41(2), 172–182 (2003). https://doi.org/10.1007/BF02344885
Mincholé, A., Jager, F., Laguna, P.: Discrimination between ischemic and artifactual ST segment events in Holter recordings. Biomed. Signal Process. Control 5(1), 21–31 (2010). https://doi.org/10.1016/j.bspc.2009.09.001
Mincholé, A., Sörnmo, L., Laguna, P.: Detection of body position changes from the ECG using a Laplacian noise model. Biomed. Signal Process. Control 14(1), 189–196 (2014). https://doi.org/10.1016/j.bspc.2014.08.002. http://dx.doi.org/10.1016/j.bspc.2014.08.002
Provazník, I.: Wavelet analysis for signal detection - applications to experimental cardiology research. Ph.D. thesis, Brno University of Technology (2002)
Smrdel, A., Jager, F.: Automated detection of transient ST-segment episodes in 24h electrocardiograms. Med. Biol. Eng. Comput. 42(3), 303–311 (2004)
Taddei, A., Costantino, G., Silipo, R., Emdin, M., Marchesi, C.: A system for the detection of ischemic episodes in ambulatory ECG. In: Computers in Cardiology, pp. 705–708 (1995). https://doi.org/10.1109/CIC.1995.482762
Torrence, C., Compo, G.P.: A practical guide to wavelet analysis. Bull. Am. Meteorol. Soc. 79(1), 61–78 (1998). https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Fernández Biscay, C., Arini, P.D., Soler, A.I.R., Bonomini, M.P. (2019). Differentiation Between Ischemic and Heart Rate Related Events Using the Continuous Wavelet Transform. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science(), vol 11487. Springer, Cham. https://doi.org/10.1007/978-3-030-19651-6_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-19651-6_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19650-9
Online ISBN: 978-3-030-19651-6
eBook Packages: Computer ScienceComputer Science (R0)