Abstract
This paper deals with the analysis of the electrocardiogram signal ECG by using both the continuous wavelet transform and non-negative matrix factorization NMF. Clinically, an electrocardiogram (ECG) is a test that studies how the heart works by measuring its electrical activity. At each heartbeat, an electrical pulse (or “wave”) passes through the heart. This wave causes the heart muscle to contract so that it expels the blood from the heart. The aim of this work is to estimate the RR interval in order to diagnose fetal heart arrhythmia such as Bradycardia or Tachycardia. We focus on both time domain and frequency domain to extract the useful characteristics of the signal.
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Ziani, S., El Hassouani, Y., Farhaoui, Y. (2019). An NMF Based Method for Detecting RR Interval. In: Farhaoui, Y., Moussaid, L. (eds) Big Data and Smart Digital Environment. ICBDSDE 2018. Studies in Big Data, vol 53. Springer, Cham. https://doi.org/10.1007/978-3-030-12048-1_35
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DOI: https://doi.org/10.1007/978-3-030-12048-1_35
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