Detection of Cardiac Signal Characteristic Point Using Log-Domain Wavelet Transform Circuits

H. Li, Y. He, Yichuang Sun

    Research output: Contribution to journalArticlepeer-review

    22 Citations (Scopus)


    To meet the requirement of low power consumption in biomedical implantable pacemaker applications, a novel method based on balanced log-domain wavelet transform (WT) circuits has been developed for detecting QRS complexes of cardiac signals. By using a hybrid particle swarm optimization algorithm (PSO) combined with sequential quadratic programming, an excellent approximation of the first derivative of a Gaussian wavelet is achieved. The WT circuits are composed of filters whose impulse response is the approximation of the Gaussian wavelet. The WT filter design is based on a time inverse follow-the-leader feedback structure with class-AB balanced log-domain integrators as the main building blocks. HSPICE simulation shows that the power consumption is only 62 nW per scale for a 1.2 V supply, and the dynamic range is 86 dB for 2% total harmonic distortion. The high accuracy of the QRS complex detection method has been validated using the MIT-BIH database.
    Original languageEnglish
    Pages (from-to) 683-698
    Number of pages16
    JournalCircuits, Systems, and Signal Processing
    Volume 27
    Issue number5
    Publication statusPublished - Oct 2008


    • QRS complex, Log domain, WT, PSO, Analog VLSI


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