Comparative Performance of the Sign Windowed Filtering Technique with Han, Hamming, Kaiser and Black Manwindowed Filtering Technique in Artifact Removing

Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 3

Abstract

Artifacts such as 50Hz power line noise should be removed from ECG signal of a patient in a hospital in other to guarantee correct clinical information concerning the patient. The technique for removing 50Hz power line interference artifact from human ECG was developed and implemented. The technique consists of sine window function for use in static filter coefficient. The corrupt signal was made to pass through Finite Impulse Response adaptive filter. Based on the developed window function, filter order of 100, sampling frequency of 1000Hz, pass band frequency of 40/60Hz and rejection frequency of 47.5/52.5Hz, processing of the electrocardiographic signal for the removal of 50Hz power line interference was extensively performed. The filter order, sampling frequency and pass band frequency were widely varied to determine their optimum values and they were ultimately determined to be 100, 900Hz and 40/60Hz respectively. The sine window function removed the targeted 50Hz noise from the ECG signal. When comparing the sine window with other widows, there was an improvement in signal quality over other windows with a SNR ratio of 33.98dB. the Kaiser window has SNR of 33.40dB while the Rectangular window has the least performance with SNR of 12.48dB.

Authors and Affiliations

Ojo, O. S

Keywords

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  • EP ID EP396589
  • DOI -
  • Views 32
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How To Cite

Ojo, O. S (2018). Comparative Performance of the Sign Windowed Filtering Technique with Han, Hamming, Kaiser and Black Manwindowed Filtering Technique in Artifact Removing. American journal of Engineering Research, 7(3), 225-232. https://europub.co.uk/articles/-A-396589