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VLSI Friendly ECG QRS Complex Detector for Body Sensor Networks

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2 Author(s)
Chris F. Zhang ; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh ; Tae-Wuk Bae

This paper aims to present a very-large-scale integration (VLSI) friendly electrocardiogram (ECG) QRS detector for body sensor networks. Baseline wandering and background noise are removed from original ECG signal by a mathematical morphological method. Then the multipixel modulus accumulation is employed to act as a low-pass filter to enhance the QRS complex and improve the signal-to-noise ratio. The performance of the algorithm is evaluated with standard MIT-BIH arrhythmia database and wearable exercise ECG Data. Corresponding power and area efficient VLSI architecture is designed and implemented on a commercial nano-FPGA. High detection rate and high speed demonstrate the effectiveness of the proposed detector.

Published in:

IEEE Journal on Emerging and Selected Topics in Circuits and Systems  (Volume:2 ,  Issue: 1 )