Use of Kaiser window for ECG processing

Authors:
Mahesh S. Chavan;Ra Agarwala;M. D. Uplane
Affiliations:
Department of Electronics engineering, PVPIT Budhagaon Sangli, India;Department of Electronics, NSIT, New Delhi, India;Department of Electronics, Shivaji University Kolhapur, India
Venue:
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2006

Citing 2
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Abstract

This paper deals with the design and implementation of the FIR digital filter designed using Kaiser Window for the noise reduction in the ECG signal. The simulation model is built with the help of Mathlab and implemented. Firstly three different FIR filters using Kaiser Window namely low pass high pass and notch filter are designed and then implemented in the ECG signal. The proper signal conditioning circuit has been used to access the 12 lead ECG signal. Required simulation model has been built in the mathlab. All the filters have been designed with the help of FDA toolbox the Mathlab. Digital filters plays very important role in the processing of the low frequency signals. Numbers of biomedical signals are of the low frequency. The ECG signal, generally represents the condition of the heart. It has the frequency range form .5 Hz to 100Hz. Artifacts plays vital role in the processing of the ECG signal. The work is the step in the direction for reduction of the artifacts using digital filter designed with the help of Kaiser Window. It is found that the filter introduced works satisfactorily.