REAL TIME SYSTEM FOR EFFICIENT PROCESSING OF CARDIAC ARRHYTHMIAS SIGNALS

Shipra Saraswat, Geetika Srivastava, Sachidanand Shukla

Abstract


Cardiac arrhythmias is a very uncommon life threating arrhythmia which can even cause sudden death. Healthcare professionals are always looking to find out the ways in order to reduce the death rate. The new method of feature extraction and classification of arrhythmias has been developed by the authors of this paper in their previous works. In this paper, authors have proposed the methodology for the development of a real-time system for efficient processing of arrhythmic signals in order to differentiate between normal and abnormal patients. The purpose of this work is to develop a real-time system for processing the real-time signals or signals obtained from MIT-BIH arrhythmia database. For carrying out this work, we have taken the signals from MIT-BIH Supraventricular arrhythmia   database and MIT-BIH Fantasia database. Authors have achieved 100% accuracy by using this method.

Keywords: MIT-BIH, Cardiac arrhythmias, real-time system.


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