The 15th IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC)

685 / 2019-05-26 02:14:55

A 0.45-V 70-nW QRS Detector Using Decimated Quadratic Spline Wavelet Transform and Window-based Extrema Difference Techniques

ECG, Low-power, QRS Detector, Decimation, Quadratic Spline Wavelet Transform, Window-based, Extrema Difference Curve

Plenary track > Algorithm

This work presents a 70-nW QRS detector implemented in 0.45-V 0.18-μm CMOS technology. The algorithm is optimized with decimated quadratic spline wavelet transform (DQSWT) and window-based extrema difference curve (WEDC). The DQSWT achieves up to 60% computational unit reduction when compared to the conventional method, while the WEDC enhances the QRS detection accuracy while maintaining a low computational complexity. Combined with a decision-making stage with simple mechanism, the proposed algorithm achieves a sensitivity of 99.62% and a precision of 99.70% in MIT-BIH arrhythmia database.