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ECG synthesis based on morphing.

A J Nimunkar1, W J Tompkins

  • 1Dept. of Biomed. Eng., Wisconsin Univ., Madison, WI, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
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This study introduces a novel method to create realistic electrocardiogram (ECG) signals by merging two existing ECGs. This technique enhances ECG signal synthesis for biometric and algorithm testing.

Area of Science:

  • Biomedical Engineering
  • Signal Processing

Background:

  • Electrocardiogram (ECG) signal synthesis is crucial for developing and validating new technologies.
  • Existing methods may lack the realism required for advanced applications.

Purpose of the Study:

  • To develop a novel technique for synthesizing realistic ECG signals.
  • To enable the creation of intermediate ECG signals through morphing.

Main Methods:

  • Morphing two real ECG signals using spline interpolation and over-sampling.
  • Extracting characteristic feature points and partitioning signals into component curves.
  • Matching feature points and performing one-dimensional morphing within physiological bounds.

Main Results:

Related Experiment Videos

  • Successfully synthesized realistic intermediate ECG signals.
  • Ensured synthesized signals remain within the physiological bounds of parent ECGs.

    • Conclusions:

    • The developed ECG synthesis technique is effective.
    • Synthesized ECGs can be applied to test ECG-based biometric systems and signal processing algorithms.