Chaos based on quantitative risk assessment of cardiac dysfunction

Congestive Heart Failure 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 about the application of the fractal data analysis on the ECG data to determine abnormalities of the heart and for prediction or alarm generation for CHF.

Autorentext

Susmita is presently working on various applications of nonlinear data analysis in the field of speech, music and particle physics. A B.Arch from Jadavpur University she moved to IT with Masters in IT from IIEST. She then worked in TCS for more than 10 years in areas like software quality assurance, project management and mainframe technologies.