Design of wavelet-based ECG detector for implantable cardiac pacemakers

Young Jae Min, Hoon Ki Kim, Yu Ri Kang, Gil Su Kim, Jongsun Park, Soo-Won Kim

Research output: Contribution to journalArticlepeer-review

83 Citations (Scopus)


A wavelet Electrocardiogram (ECG) detector for low-power implantable cardiac pacemakers is presented in this paper. The proposed wavelet-based ECG detector consists of a wavelet decomposer with wavelet filter banks, a QRS complex detector of hypothesis testing with wavelet-demodulated ECG signals, and a noise detector with zero-crossing points. In order to achieve high detection accuracy with low power consumption, a multi-scaled product algorithm and soft-threshold algorithm are efficiently exploited in our ECG detector implementation. Our algorithmic and architectural level approaches have been implemented and fabricated in a standard 0.35 \mu{\rm m} CMOS technology. The testchip including a low-power analog-to-digital converter (ADC) shows a low detection error-rate of 0.196% and low power consumption of 19.02 \mu{\rm W} with a 3 V supply voltage.

Original languageEnglish
Article number2229463
Pages (from-to)426-436
Number of pages11
JournalIEEE Transactions on Biomedical Circuits and Systems
Issue number4
Publication statusPublished - 2013


  • Implantable cardiac pacemaker
  • multi-scaled product
  • soft-threshold algorithm
  • wavelet ECG detector

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering


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