A new CS method for ECG signal

• Abstract:

  Compressed sensing (CS) is a modern method reducing amount of transferred and stored data which have been applied for many types of signals fulfilling sparsity requirements. Electrocardiogram signals (ECG) is one of such signals. In this paper a completely patient-agnostic compressed sensing and reconstruction technique for ECG signals is proposed. A modified sensing method incorporating a QRS detector is used to guarantee the exact R wave positions in the reconstructed signal for any level of compression. For the signal reconstruction a novel method using a dynamic ECG signal model is described, in which the model parameters are found using the Differential Evolution optimization algorithm. Reconstruction quality is evaluated using the MIT-BIH arrhythmia database, and compared against wavelet dictionary reconstruction methods showing better reconstruction quality for compression ratios above 5.
• Download:

  IMEKO-TC4-2020-02.pdf
• DOI:

  _unreg_tc4-2020.02

Event details:

• IMEKO TC:

  TC4
• Event name:

  TC4 Symposium 2020 (ONLINE)
• Title:

  24^th IMEKO TC4 Symposium and 22^nd International Workshop on ADC and DAC Modelling and Testing (IWADC)

• Place:

  Palermo, ITALY
• Time:

  14 September 2020 - 16 September 2020