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Automatic analysis of ECG signals based on their fractal and multifractal properties

Published: 07 October 2021 Publication History

Abstract

Automatic analysis of electrocardiographic (ECG) signals, including the heart rate variability (HRV), makes it possible to assess the health status of patients, by reducing the likelihood of human error and providing an optimal and relatively accurate result. HRV is an important information indicator for diagnosing and predicting cardiovascular disease, which is based on measuring the intervals between heartbeats (known as RR-time intervals) derived from ECG signals. HRV has been used for research in various scientific fields, including information technology where it is used to create software products for automatic analysis of ECG signals in order to gain additional knowledge about the behavior of RR fluctuations in normal and disease states. ECG signals are non-stationary and one of the most suitable methods for analysis are the fractal methods. This article presents the results of the study of the fractal and multifractal properties of real ECG signals, combined into two groups: ECG signals of healthy subjects as well as patients with cardiovascular disease (arrhythmia), using the methods: Rescaled range (R/S) analysis and Multifractal Detrended Fluctuation Analysis (MFDFA). The obtained values ​​of the studied parameters are used to distinguish healthy subjects from sick ones, by applying statistical analysis. The statistical analysis is performed by applying a t-test to determine the statistical significance of the studied ECG signals and Receiver Operating Characteristic (ROC) analysis to assess the quality of the selected methods. The obtained results show that the fractal methods used are suitable for analysis of the dynamics of RR intervals and for distinguishing the healthy subjects from those with pathological diseases.

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  • (2024)A Gaussian-based hybrid method for simulating photoplethysmographic signalsProceedings of the International Conference on Computer Systems and Technologies 202410.1145/3674912.3674934(143-148)Online publication date: 14-Jun-2024
  • (2023)Discrimination of Cardiac Abnormalities Based on Multifractal Analysis in Reservoir Computing FrameworkIEEE Open Journal of Instrumentation and Measurement10.1109/OJIM.2023.33323442(1-11)Online publication date: 2023
  • (2023)Multifractal analysis of cellular ATR-FTIR spectrum as a method for identifying and quantifying cancer cell metastatic levelsScientific Reports10.1038/s41598-023-46014-113:1Online publication date: 2-Nov-2023
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cover image ACM Other conferences
CompSysTech '21: Proceedings of the 22nd International Conference on Computer Systems and Technologies
June 2021
230 pages
ISBN:9781450389822
DOI:10.1145/3472410
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2021

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Author Tags

  1. Fractal analysis
  2. Heart Rate Variability (HRV)
  3. Hurst exponent
  4. Multifractal Detrended Fluctuation Analysis (MFDFA)
  5. Multifractal analysis
  6. RR-time intervals
  7. Receiver Operating Characteristic (ROC) analysis
  8. Rescaled Range (R/S) analysis

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CompSysTech '21

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

View all
  • (2024)A Gaussian-based hybrid method for simulating photoplethysmographic signalsProceedings of the International Conference on Computer Systems and Technologies 202410.1145/3674912.3674934(143-148)Online publication date: 14-Jun-2024
  • (2023)Discrimination of Cardiac Abnormalities Based on Multifractal Analysis in Reservoir Computing FrameworkIEEE Open Journal of Instrumentation and Measurement10.1109/OJIM.2023.33323442(1-11)Online publication date: 2023
  • (2023)Multifractal analysis of cellular ATR-FTIR spectrum as a method for identifying and quantifying cancer cell metastatic levelsScientific Reports10.1038/s41598-023-46014-113:1Online publication date: 2-Nov-2023
  • (2022)Fractal Correlation of HRV for Postural Change in Young Males and Females2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)10.1109/MysuruCon55714.2022.9972604(1-5)Online publication date: 16-Oct-2022

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