ECG DATA COMPRESSION BY CLASSICAL AND MODERN TECHNIQUES

Abstract

In thepresent scenario ECG signal is used widely to diagnose the human diseases related to heart .Sometime the ECG signal is recorded in the hospital with the help of electrodes or sometime in rural areas by the medical team where hospital facilty is not available .These ECG recording is sent to the hospital from the rural areas with the help of satellite communication purposes for fast and immediate results ,ECG signal is also recorded with the help of holter meter which is a machine which record the ECG signal from the patient for the long periods of time ,in all type of these recording data compression is the main requirement because in all these forms of recoding the data collected is in huge amount so to transfer and and store this data compression techniques are used Data compression technique is basically divided into two categories classical and modem In this dissertation DCT ,DST ,FFT are discussed in the classical technique and Discrete Wavelet Transform is discussed in the modern technique for ECG data compression . Performance analysis of various technique is done by comparing Compression Ratio and Percentage Root Mean Square Difference at a given threshold . The threshold limit is given at which the % change in the ECG parameter does not exceed the acceptable limit which is pre suggested by the doctors. In the last chapter of this dissertation different types of comparison are given and by looking into the table of comparison it was found that modern technique comes out to be more efficient in the ECG data compression with giving high compression ratio and low PRD and percentage change in ECG parameter within the acceptable limit