Multifractal age? Multifractal analysis of cardiac interbeat intervals in assessing of healthy aging
Danuta Makowiec, Stanisaw Kryszewski, Joanna Wdowczyk-Szulc, Marta, Zarczynska-Buchowiecka, Marcin Gruchal, Andrzej Rynkiewicz

TL;DR
This study uses multifractal analysis of 24-hour Holter recordings to assess healthy aging by examining changes in the multiplicative structure of cardiac interbeat intervals across different ages.
Contribution
It introduces novel qualitative and quantitative methods based on multifractal analysis to estimate the aging process in healthy individuals.
Findings
Nocturnal signals show stronger multifractal structure in young people.
The multiplicative structure weakens with age and is less evident in elderly.
Multifractal analysis can effectively estimate the progression of healthy aging.
Abstract
24-hour Holter recordings of 124 healthy people at different age are studied. The nocturnal signals of young people reveal the presence of the multiplicative structure. This structure is significantly weaker in diurnal signals and becomes less evident for elderly people. Multifractal analysis allows us to propose qualitative and quantitative methods to estimate the advancement of the aging process for healthy humans.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Heart Rate Variability and Autonomic Control · Chaos control and synchronization
