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Author

G. Georgieva-Tsaneva

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3 papers indexed here

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Conference Sep 2026

A Hybrid Model for Realistic Heart Rate Variability Simulation Based on Physiological, Stochastic, and Fractal Dynamics

Heart rate variability (HRV) is a non-invasive biomarker reflecting the activity of the autonomic nervous system and cardiovascular regulation. The generation of realistic HRV time series can be useful in testing new signal processing algorithms, especially those based on neural networks and machine learning. In this p...

G. Georgieva-Tsaneva · 0 citations
Conference Sep 2026

Comparative Analysis of Deep Learning Models for ECG Classification

Classification of cardiac time series is an important application area of deep learning. Electrocardiographic signals have great diagnostic value in determining the cardiac health of people. For this reason, they need to be carefully pre-processed and analyzed reliably. Convolutional and recurrent neural architectures...

Ekaterina Popovska, G. Georgieva-Tsaneva, D. Slavov · 0 citations
Open access Sep 2026

Identification and Longitudinal Monitoring of Physiological Response Profiles in Wrestlers Using Multivariate Heart Rate Variability Analysis

Heart rate variability (HRV) is a noninvasive marker of cardiac autonomic regulation, suitable for use in monitoring training adaptation and recovery in athletes. Group-level analyses may mask significant interindividual variability in responses to the same training stimulus if changes are divergent. This study investi...

G. Georgieva-Tsaneva · 0 citations

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