VLSI design of ECG QRS complex detection using Multiscale Mathematical Morphology

This study presents the very large scale integration (VLSI) based electrocardiogram (ECG) QRS complex detector for wearable devices in body sensor networks. Multiscale Mathematical Morphology (MMM) is a method used to suppress background noise and baseline wandering from original ECG signal. The major advantage of this method is that it does not require any prior knowledge of frequency spectrum. Hence Multiscale Mathematical Morphology is very attractive for noise reduction. An efficient VLSI architecture in is designed and simulated for the same method. This algorithm is applied to ECG signal from MIT - BIH database and its performance is measured in terms of sensitivity (Se) and positive predictivity (+P) as 97.8% and 97.8% respectively.