Non-Invasive Evaluation of Cardiovascular Dynamics using Statistical Learning Tools

Authors

  • Nicolás Aguirre, Doctorando Grupo de Investigación y Desarrollo en Bioingeniería, Facultad Regional Buenos Aires, Universidad Tecnológica Nacional - Argentina
  • Leandro Javier Cymberknop Director
  • Edith Grall-Maës Codirectora

DOI:

https://doi.org/10.33414/ajea.5.715.2020

Keywords:

Cardiovascular system, statistical learning, central blood pressure, point wave velocity

Abstract

Some results are presented regarding two key parameters related to cardiovascular health such as central pressure and pulse wave velocity, as well as a marker of characteristic points of the blood pressure signal based on deep learning.

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Published

2020-10-05

How to Cite

Aguirre, N., Cymberknop, L. J., & Grall-Maës, E. (2020). Non-Invasive Evaluation of Cardiovascular Dynamics using Statistical Learning Tools. AJEA (Proceedings of UTN Academic Conferences and Events), (5). https://doi.org/10.33414/ajea.5.715.2020

Conference Proceedings Volume

No. 5 (2020): Conference on Exchange and Dissemination of Research Results of Doctoral Students in Engineering

Section

Proceedings - Signal and Image Processing