Abstract
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 language | English |
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Pages (from-to) | 683-698 |
Number of pages | 16 |
Journal | Circuits, Systems, and Signal Processing |
Volume | 27 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct 2008 |
Keywords
- QRS complex, Log domain, WT, PSO, Analog VLSI