High performance QRS complex detector for wearable ECG systems using Multi Scaled product with booth multiplier and soft threshold algorithm

A QRS Complex detector has been designed for the wearable Electrocardiogram (ECG) systems using Multi Scaled product with booth multiplier and soft threshold algorithm. The raw ECG signal is first digitalized by passing it through an analog to digital converter (ADC), then a Wavelet decomposer is used for the decomposition of the signal into four Wavelet Filter Banks. A Noise detector is connected to the output of one of the Wavelet Filter Bank (#one) and works as an input to the QRS Complex detector. The QRS Complex detector consists of Multi Scaled product and Soft Threshold algorithms. On the basis of noise information obtained from the noise detector, the Multi Scaled Product algorithm selects the outputs of Wavelet Filter Banks and Multiply these using a radix-4 Booth multiplier for the detection of QRS Complex wave. The Soft Threshold algorithm is used to increase the accuracy of the QRS Complex detection. The proposed QRS complex detector is simulated using ModelSim simulator and synthesized on Xilinx SPARTAN-6 FPGA using Project Navigator version 6.1i. Obtained results show that the proposed QRS detector is lesser complex and its overall delay is reduced by 33% compared to the previously designed QRS complex detectors.