TY - CHAP
T1 - Chronobiologic analyses of weeklong around-the-clock records of simultaneously monitored blood pressure and activity
AU - Cornelissen, Germaine
AU - Farah, Zainab
AU - Gubin, Denis
AU - Gumarova, Lyazzat
AU - Sackett-Lundeen, Linda
AU - Kazlausky, Thomas
AU - Otsuka, Kuniaki
AU - Siegelova, Jarmila
AU - Beaty, Larry A.
N1 - Publisher Copyright:
© 2020 Masaryk University.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Among the many different factors that influence blood pressure, activity was once thought to be the major determinant of the circadian variation in blood pressure. Whereas the endogenous nature of the circadian rhythm in blood pressure is no longer disputed, there is great interest in monitoring activity concomitantly with blood pressure. Herein, we reanalyze a dataset on weeklong ABPM records obtained concomitantly with actigraphy from 20 clinically healthy young adults. The purpose of this investigation is to review different approaches available for the characterization of the circadian variation in physiological variables such as blood pressure, heart rate, and activity. Topics covered include rhythm detection, the estimation of rhythm parameters, and the visualization of their waveform. Methods to examine how circadian rhythms of different variables may relate to each other are also discussed.
AB - Among the many different factors that influence blood pressure, activity was once thought to be the major determinant of the circadian variation in blood pressure. Whereas the endogenous nature of the circadian rhythm in blood pressure is no longer disputed, there is great interest in monitoring activity concomitantly with blood pressure. Herein, we reanalyze a dataset on weeklong ABPM records obtained concomitantly with actigraphy from 20 clinically healthy young adults. The purpose of this investigation is to review different approaches available for the characterization of the circadian variation in physiological variables such as blood pressure, heart rate, and activity. Topics covered include rhythm detection, the estimation of rhythm parameters, and the visualization of their waveform. Methods to examine how circadian rhythms of different variables may relate to each other are also discussed.
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M3 - Chapter
AN - SCOPUS:85114975107
SP - 19
EP - 26
BT - Noninvasive Methods in Cardiology 2020
PB - Masaryk University
ER -