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Assessment of cardiovascular risk based on a data-driven knowledge discovery approach., , , , , , и . EMBC, стр. 6800-6803. IEEE, (2015)A wavelet-based approach for time series pattern detection and events prediction applied to telemonitoring data., , , и . EMBC, стр. 6037-6040. IEEE, (2011)Modulation filtering for noise detection in heart sound signals., , , и . EMBC, стр. 6013-6016. IEEE, (2011)Detection of different types of noise in lung sounds., , , , , , , и . EMBC, стр. 5977-5980. IEEE, (2016)Comparison of an interpretable data-driven approach with state of the art classifiers: Application to cardiovascular risk assessment., , , , , и . RTSI, стр. 1-5. IEEE, (2017)Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis., , , , и . EMBC, стр. 2603-2606. IEEE, (2012)An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Loève transforms., , , и . EMBC, стр. 6216-6219. IEEE, (2012)How Reliable Are Ultra-Short-Term HRV Measurements during Cognitively Demanding Tasks?, , , , , , , , , и . Sensors, 22 (17): 6528 (2022)Multi-parametric prediction for cardiovascular risk assessment., , , , и . pHealth, том 224 из Studies in Health Technology and Informatics, стр. 15-20. IOS Press, (2016)Identification of CVD risk parameters during sleep., , , , , , , , , и . BHI, стр. 352-355. IEEE, (2016)