Investigations of Cardiac Rhythm Fluctuation Using the DFA Method

Abstract

Considering the highly nonlinear and non stationary features of the ECG signal proven by latest researches the most appropriate methods of analysis are based also on the nonlinear dynamics we used a modified root mean square analysis of a random walk named detrended fluctuations analysis (DFA) which proved efficacy as diagnostic tool and advantages on the existing related methods. Our studies were conducted on two groups of young and old subjects totally 24 patients and the different behavior being related to the underlying dynamics of the heartbeat. We compare the data results using the DFA method: first when a line segment is fitted and second when a quadratic polynomial is fitted in the least-squares sense. Applications of this analysis may lead to new and safe diagnosis for patients and to evaluation of the patient status in systemic diseases that may affect in time the cardio-vascular system.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2002
Accession Number
ADA409869

Entities

People

  • Amariei Liviu
  • Corduneanu Constantin
  • Negoita Catalina
  • Sandu Anca
  • Slabu Lavinia

Tags

DTIC Thesaurus Topics

  • Cardiovascular Diseases
  • Cardiovascular System
  • Cognition
  • Data Sets
  • Death
  • Diseases And Disorders
  • Dynamics
  • Electrocardiography
  • Engineering
  • Experimental Data
  • Health Services
  • Heart
  • Heart Rate
  • Linear Systems
  • Medical Personnel
  • Nonlinear Dynamics
  • Signal Processing

Readers

  • Approximation Theory.
  • Cardiovascular Physiology
  • Computational Modeling and Simulation