ECG signal processing in sport (ECG)

Cardiovascular signal processing is useful to analyze the physiological changes that occur during exercise to meet the increased metabolic demand and during the recovery from it. However, muscular noise, motion artifacts, changes in heart rhythm and respiration represent different challenges which require dedicated signal processing techniques to extract and interpret relevant information for exercise performance assessment and athletes monitoring. Heart rate variability (HRV), and respiratory and repolarization dynamics can be used to evaluate the cardiovascular system during exercise, providing insights into the training status, fatigue, and recovery of an individual, as well as sports performance.

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Lecture infos

School: XLII Annual School 2023 – The Bioengineering of Sport

Date: 12.09.2023 - 12:00

Speaker

Bailon R.

UNIZAR

Raquel Bailón received the M.S. degree in Telecommunication Engineering and the Ph.D. degree in Biomedical Engineering from the University of Zaragoza (UZ), Zaragoza, Spain, in 2001 and 2006, respectively. Currently she is Full Professor in the Department of Electronic Engineering and Communications, UZ. She is also a Researcher in the Aragon Institute for Engineering Research and the Aragon Institute for Health Research (UZ) and also in the Biomedical Research Networking Center (CIBER) in Bioengineering, Biomaterials and Nanomedicine, Spain. Her research is conducted in the biomedical signal processing field, especially in the analysis of the dynamics and interactions of cardiovascular signals for the characterization of autonomic nervous system functioning, with applications in chronic diseases monitoring (depression, multiple sclerosis, obstructive sleep apena), stress and sports monitoring.