International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
ANALYSIS OF DIFFERENT TYPES OF IIR AND FIR FILTERS IN ECG SIGNAL USING VARIOUS TRANSFORMS FOR DIFFERENT ORDERS AND TIME CONSUMPTION R. Merit Sharon1, Dr.P.Kannan2 1PG
Student, 2Head of the Department, Department of Electronics and Communication Engineering, PET Engineering College, Tamil Nadu, India ---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Electrocardiogram (ECG or EKG) is the process of recording the electrical activity of the heart over a period of time placing electrodes on the skin. The spikes and dips within the tracings are referred to as waves. In this project ECG signal is taken as the input signal. AWGN noise is mixed with the ECG signal. Then various transforms like DFT, DCT, FWHT and DWT are applied to the noisy ECG signal. Then IIR and FIR filtering techniques are applied to the coefficients of various transforms. Then comparisons are made based on time consumption and order of the filter. Key words: ECG signal, Transforms, IIR Filter, FIR Filter, AWGN Noise, Windowing techniques.
1. INTRODUCTION An electrocardiogram (EKG or ECG) is an instrument that is used to check the electrical activity of the heart. The electrical activity of the heart is in the form of line tracings. The spikes and dips in the tracings are called waves. It consists of 10 electrodes and 12 leads placed on the chest of the patient. The main purpose of ECG is to find the proper functioning of heart. The electrodes present are RA, LA, RL,LL, V1, V2, V3, V4, V5, V6. In a normal heart, the rhythm is called Normal Sinus Rhythm (NSR). This produces P wave, QRS complex and T wave. The various types of transforms that are used are DCT, DWT, FFT, FWHT. The various IIR filtering techniques used are Butterworth filter, Chebyshev type 1, Chebyshev type 2 and FIR filtering technique used is Windowing technique. The various Windowing techniques are Kaiser window, Hamming window, Chebyshev window.
2. SYSTEM OVERVIEW ECG signal is taken as the input signal. Then AWGN noise is added with the input ECG signal. Then various transforms like DCT, FFT, FWHT, DWT are applied to this noisy input ECG signal. After applying transforms various filtering techniques like IIR and FIR filtering are applied to this transform applied noisy signal. Then comparisons are done based on time consumption and order of the filter.
2.1 Block Diagram
Filtering
Transforms
IIR
AWGN Noise
ECG signal
DCT
Butterworth Chebyshev I
DFT
Chebyshev II
DWT
Elliptic filter
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Impact Factor value: 5.181
measures Time consumptio n and order of the filters
FIR
FFT
Š 2017, IRJET
Performance
Windowing
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