The identification of ecg signals using wavelet transform and woa-pnn

HIGHLIGHTS

• who: Firstname Lastname and colleagues from the School of Electrical Engineering, Xi`an University of Technology, Xi`an, China have published the Article: The Identification of ECG Signals Using Wavelet Transform and WOA-PNN, in the Journal: Sensors 2022, 22, 4343. of /2022/
• what: The research shows that peak values of Q and S waves are small, resulting in the absence of extreme points on S3 and S4, and the extreme points on S2 are not obvious 4 of 15 enough. This paper proposes to use the WOA to intelligently optimize the smoothing factor u03b4 . . .
  

   

  

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