A Functional Approach to Determining the Optimum Filter Order in Stability of Filtered Electrocardiographic (ECG) Signals
Keywords:
ECG signal, Filter orders, Finite impulse response (FIR), Gibbs phenomenon, Infinite impulse response filtersAbstract
Using a finite impulse response filter, the best filter order was identified and applied to the stability of a hospital patient’s ECG signal. From the responses, filters with orders 100, 102, and 104 exhibit the best characteristics since they are all stable, have a linear phase, and have a minimum magnitude value of 0.0 dB. Others have minimum magnitude values slightly above 0.0 dB which implies less stability. From analytical and simulated results, it was observed that filters of order 102 and 104 have higher magnitude values at 50Hz as seen, which can make them better than a filter of order 100. However, the additional 2 and 4 units of order which they possess respectively will add to the cost and the extra attenuation will not be commensurate to this cost. Hence, the optimum order of the proposed filter is 100.
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