It is well known that bioelectrical activities of the human body, recorded from the surface of the body as EEG or ECG signals can be considered as oscillatory processes exhibiting clearly defined variability and having chaotic and fractal properties. Usual techniques for this type of data analysis lack some of the important properties essential for the quantitative assessment of internal functioning. EEG or ECG data are essentially nonlinear and these nonlinear time series had been sometimes identified as being multi-fractal in nature. At DGRF, researchers have obtained some remarkable results by using their in-house fractal analysis tool.

  • Book: Chaos based on quantitative risk assessment of cardiac dysfunction
    Congestive Heart Failure(CHF) is a growing menace spreading its jaws worldwide. As for all diseases, early detection of the disease is the key to thwart the rampage caused by the disease. With the existent diagnostic devices and methodologies, cost of diagnosis is high and some are painful due to their invasive nature. This book discusses […] keyboard_arrow_right
  • Chaos Based Quantitative Risk Assessment of Cardiac Dysfunction
    Congestive heart failure (CHF) is a condition in which the heart is unable to pump sufficiently to maintain blood flow to meet the needs of human body. In CHF, blood pumping power of heart muscles becomes weaker compared to that of normal heart muscles. Coronary artery diseases, record of past heart attack (myocardial infarction), hypertension, […] keyboard_arrow_right
  • Electroencephalographic Data Analysis With Visibility Graph Technique for Quantitative Assessment of Brain Dysfunction
    EEG responses from the brain are the only way to decide on the reaction to a specific stimuli. This work is to study whether the fractal techniques can reveal any patterns in the EEG responses. The results have shown intriguing differences between diseased and normal subjects. This has confirmed that EEG responses from persons subjected […] keyboard_arrow_right
  • Non-invasive alarm generation for Sudden Cardiac Arrest – a pilot study with visibility graph technique
    Sudden cardiac arrest is a serious medical condition claiming numerous lives across the globe. The fact that in most cases the victim succumbs to death within an hour of the onset of symptoms itself indicates the dreadful nature of the disease. The comparative study of values obtained through the analysis of diseased and normal subjects […] keyboard_arrow_right
  • Quantitative Assessment of Heart Rate Dynamics during Meditation: An ECG Based Study with Multi-Fractality and Visibility Graph
    The control of thought, attention and emotion is a difficult problem. Thinking of nothing or rather not thinking of something, is the most difficult challenge faced by every human being at different stages of life. An accomplished football player, a singer, musician, physicist or a medical surgeon: the performance of all of them depends only […] keyboard_arrow_right
  • Visibility graph analysis of heart rate time series and bio-marker of congestive heart failure
    Congestive heart failure (CHF) is a chronic progressive condition impacting the ability of the heart muscles to pump blood properly. With the growing complexities in lifestyle and unhealthy food habits, susceptibility to this disease is increasing across the population and this is one of the major cardiovascular disorders1. While hypertension and coronary artery diseases remain […] keyboard_arrow_right