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  • 标题:ECG Noise Removal by Selection of Filter from Set of Filters Using Fuzzy Logic
  • 本地全文:下载
  • 作者:Preeti saini ; Sonia saini
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:10
  • DOI:10.15680/IJIRCCE.2015.0310015
  • 出版社:S&S Publications
  • 摘要:Electrocardiogram (ECG) is an electrical signal used for measuring electrical activity and abnormalities of the heart on the body surface via electrodes (leads). It is the graphical record of measuring change o f electrical potential with respect to time. The ECG signal is very sensitive in nature, even a very small noise can affect the ECG signal ie, changes the various features of ECG signal. Therefore, for early diagnosis of heart diseases it is required to reduce the noises. This paper presents the performance o f removal of noises like power line interference, baseline wander, white noise and EMG noise by selectio n of filters with the help of fuzzy logic. The parameters studied are MSE, PSNR, SNR and %PRD. The original ECG signal and noises are generated using MATLAB. For implementation, graphical user interface (GUI) tool is used under MATLAB software.
  • 关键词:Electrocardiogram (ECG); Peak Signal to noise ratio (PSNR); Mean square error (MSE); Percentage ; root mean square difference (%PRD); Graphical User Interface; Powerline Interference
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