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Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends.

Chao-Chen ChenFu-Chiang Rich Tsui
Published in: BMC medical informatics and decision making (2020)
We found wavelet transforms in general accurately removed various baseline wanders. Daubechies-3 and Symlets-3 wavelets performed best. The study could facilitate future real-time processing of streaming ECG signals for clinical decision support systems.
Keyphrases
  • clinical decision support
  • electronic health record
  • convolutional neural network
  • current status
  • blood pressure