TY - GEN
T1 - Multifractal analysis of ECG time series of stress tests in healthy subjects
AU - Molina, A. M.Aguilar
AU - Jiménez, R. I.Rojas
AU - Diosdado, A. Muñoz
N1 - Publisher Copyright:
© 2019 Author(s).
PY - 2019/4/10
Y1 - 2019/4/10
N2 - Multifractal analysis of heartbeat intervals time series or tachograms has become an important technique to characterize them and has the potential to support the cardiologist diagnosis. When subjects perform physical activity, their cardiovascular system can present alterations that are not present at rest, therefore, physicians can know whether they have or not heart disease. Exercise testing (ET) sometimes called treadmill test is used to evaluate the body's reaction to exercise stress. ET can show if the blood supply is reduced in the arteries that supply the heart. It also helps doctors to know the kind and level of exercise appropriate for a patient. In previous works we have found that multifractal spectra show significant differences between heathy persons and congestive heart failure (CHF) patients. In this work, we study electrocardiograms (ECG) of healthy subjects and obtain inter-beat (RR) interval time series. We calculate multifractal spectra by using the Chhabra and Jensen algorithm for these time series, at rest and in exercise on the treadmill at different speeds. Multifractal spectra of the tachograms at rest are wider, biased to the right and their curvature around the maximum is small. In contrast, when subjects do exercise, multifractal spectra are skewed to the left and their curvature around the maximum increases, these features are observed in tachograms of CHF patients.
AB - Multifractal analysis of heartbeat intervals time series or tachograms has become an important technique to characterize them and has the potential to support the cardiologist diagnosis. When subjects perform physical activity, their cardiovascular system can present alterations that are not present at rest, therefore, physicians can know whether they have or not heart disease. Exercise testing (ET) sometimes called treadmill test is used to evaluate the body's reaction to exercise stress. ET can show if the blood supply is reduced in the arteries that supply the heart. It also helps doctors to know the kind and level of exercise appropriate for a patient. In previous works we have found that multifractal spectra show significant differences between heathy persons and congestive heart failure (CHF) patients. In this work, we study electrocardiograms (ECG) of healthy subjects and obtain inter-beat (RR) interval time series. We calculate multifractal spectra by using the Chhabra and Jensen algorithm for these time series, at rest and in exercise on the treadmill at different speeds. Multifractal spectra of the tachograms at rest are wider, biased to the right and their curvature around the maximum is small. In contrast, when subjects do exercise, multifractal spectra are skewed to the left and their curvature around the maximum increases, these features are observed in tachograms of CHF patients.
UR - http://www.scopus.com/inward/record.url?scp=85064861797&partnerID=8YFLogxK
U2 - 10.1063/1.5095916
DO - 10.1063/1.5095916
M3 - Contribución a la conferencia
AN - SCOPUS:85064861797
T3 - AIP Conference Proceedings
BT - XV Mexican Symposium on Medical Physics
A2 - Trevino-Palacios, Carlos-Gerardo
A2 - Garcia-Pelagio, Karla-Paola
A2 - Avila-Aguirre, Olga-Leticia
A2 - Fossion, Ruben
A2 - Brandan, Maria-Ester
A2 - Hernandez-Bojorquez, Mariana
PB - American Institute of Physics Inc.
T2 - 15th Mexican Symposium on Medical Physics
Y2 - 13 June 2018 through 15 June 2018
ER -