TY - GEN
T1 - The detrended fluctuation analysis of heartbeat intervals in time series during stress tests
AU - Salcedo-Martínez, Amparo
AU - Pérez-López, Nancy Gabriela
AU - Zamora-Justo, José Alberto
AU - Gálvez-Coyt, Gonzalo
AU - Muñoz-Diosdado, Alejandro
N1 - Publisher Copyright:
© 2019 Author(s).
PY - 2019/4/10
Y1 - 2019/4/10
N2 - The Detrended Fluctuation Analysis (DFA) is a method of nonlinear dynamics usually used to the characterization of non-stationary signals. Particularly, this technique provides information about correlations of heartbeat intervals time series. The objective of this work is to analyze with DFA cardiovascular alterations that are not present at rest in order to determine the cardiac stress. The RR series of healthy subjects with an average age of 20 years old and subjects with an average age of 40 years old, both with sedentary lifestyle, under stress tests on a treadmill at different speeds were obtained from a Holter monitor. These series are recorded both at rest and at stress test. Information about cardiac stress is acquired from the stress test series. In principle, it is possible to know the health status and physical condition from the subject. The main purpose is to find correlations between the DFA exponent and the stress test parameters. It was verified that RR time series of young people have long-range correlations and these correlations decrease for RR time series of middle-aged adults. In addition, it was able to determine, at least qualitatively, the cardiac stress during the different stress tests which is an important parameter to assess the heart condition.
AB - The Detrended Fluctuation Analysis (DFA) is a method of nonlinear dynamics usually used to the characterization of non-stationary signals. Particularly, this technique provides information about correlations of heartbeat intervals time series. The objective of this work is to analyze with DFA cardiovascular alterations that are not present at rest in order to determine the cardiac stress. The RR series of healthy subjects with an average age of 20 years old and subjects with an average age of 40 years old, both with sedentary lifestyle, under stress tests on a treadmill at different speeds were obtained from a Holter monitor. These series are recorded both at rest and at stress test. Information about cardiac stress is acquired from the stress test series. In principle, it is possible to know the health status and physical condition from the subject. The main purpose is to find correlations between the DFA exponent and the stress test parameters. It was verified that RR time series of young people have long-range correlations and these correlations decrease for RR time series of middle-aged adults. In addition, it was able to determine, at least qualitatively, the cardiac stress during the different stress tests which is an important parameter to assess the heart condition.
UR - http://www.scopus.com/inward/record.url?scp=85064868161&partnerID=8YFLogxK
U2 - 10.1063/1.5095928
DO - 10.1063/1.5095928
M3 - Contribución a la conferencia
AN - SCOPUS:85064868161
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 -