Multifractal-Multiscale Analysis of Cardiovascular Signals: A DFA-Based Characterization of Blood Pressure and Heart-Rate Complexity by Gender
Detrended Fluctuation Analysis (DFA) is a popular method for assessing the fractal characteristics of biosignals, recently adapted for evaluating the heart-rate multifractal and/or multiscale characteristics. However, the existing methods do not consider the beat-by-beat sampling of heart rate and h...
Saved in:
Main Authors: | Paolo Castiglioni, Davide Lazzeroni, Paolo Coruzzi, Andrea Faini |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/4801924 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Corrigendum to “Multifractal-Multiscale Analysis of Cardiovascular Signals: A DFA-Based Characterization of Blood Pressure and Heart-Rate Complexity by Gender”
by: Paolo Castiglioni, et al.
Published: (2018-01-01) -
Blood Pressure and Heart Rate Variability to Detect Vascular Dysregulation in Glaucoma
by: Eva Charlotte Koch, et al.
Published: (2015-01-01) -
Are rare earth stocks efficient? Novel insights using asymmetric MF-DFA
by: Pengbo Wan, et al.
Published: (2025-01-01) -
Prevalence, risk factors, and cardiovascular disease outcomes associated with persistent blood pressure control: The Jackson Heart Study.
by: Gabriel S Tajeu, et al.
Published: (2022-01-01) -
Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies
by: Salman Ahmed, et al.
Published: (2025-01-01)