A New Method Based on Discrete Cosine Transform for Removal of ECG Baseline Wander


Removal of baseline wander is an important preprocessing step before manually or automatically interpreting Electrocardiography (ECG) records. However, baseline wander is usually mingled with the low-frequency part of ECG, which makes it difficult to fully remove baseline wander while preserving the original clinic information. To solve this problem, a real-time approach based on Discrete Cosine Transform (DCT) is presented in this paper. Experimental results on both simulated ECG and real ECG records of PTB database show that the proposed algorithm achieves better performance in terms of preserving the original clinic information than those of well-know wavelet-based methods.

  • Abstract
  • Key Words
  • 1 Introduction
  • 2. Discrete Cosine Transform and Its Related Applications
  • 3. Baseline Wander Removal Based on Discrete Cosine Transform
  • 4. Experiments with Simulated and Real ECG Records
  • 5. Discussion and Conclusions
  • 6. Acknowledgment
  • References

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