Projects:2016s1-131 ECG Enhancement with Advanced Signal Processing

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Topic

ECG Enhancement with Advanced Signal Processing


Supervisors

Dr. Brian Ng

Prof. Mathias Baumert

Team Members

Yang Lin

Yingtong Guo

Introduction

The electrocardiogram (ECG) recording plays an important role in medical applications. However, it is easily affected by sources [2]. In this project, we are intend to enhance ECG signals by using recent advances in digital signal processing which is based on the sparsity –based signal processing. Three ECG databases and one optional database are used to implement the approach. Generally, the desired ECG recordings are gained from websites and then according to different ECG signals, the sparsity-based method is used with different parameters. After that, the performance of the method is evaluated by comparing the accuracy of the RR interval measurements, obtained from the Pan Tompkins QRS detection algorithm.

Aims

  • Reduce the influence of noise on ECG signal to produce better result for doctors.
  • Use QRS detection to test the performance of sparse method and compare it to previous research.
  • Try to separate desired signal from mixed ECG signal.
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